Overview

Dataset statistics

Number of variables657
Number of observations23432
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows51
Duplicate rows (%)0.2%
Total size in memory117.5 MiB
Average record size in memory5.1 KiB

Variable types

NUM355
CAT158
BOOL141
UNSUPPORTED3

Warnings

seg_route_from has constant value "23432" Constant
often_city has constant value "23432" Constant
seat_safe_cnt_m3 has constant value "23432" Constant
seat_safe_cnt_m6 has constant value "23432" Constant
seat_safe_cnt_y1 has constant value "23432" Constant
seat_safe_cnt_y2 has constant value "23432" Constant
seat_safe_cnt_y3 has constant value "23432" Constant
workday_cnt_m3 has constant value "23432" Constant
workday_cnt_m6 has constant value "23432" Constant
workday_cnt_y1 has constant value "23432" Constant
workday_cnt_y2 has constant value "23432" Constant
workday_cnt_y3 has constant value "23432" Constant
weekend_cnt_m3 has constant value "23432" Constant
weekend_cnt_m6 has constant value "23432" Constant
weekend_cnt_y1 has constant value "23432" Constant
weekend_cnt_y2 has constant value "23432" Constant
weekend_cnt_y3 has constant value "23432" Constant
holiday_cnt_m3 has constant value "23432" Constant
holiday_cnt_m6 has constant value "23432" Constant
holiday_cnt_y1 has constant value "23432" Constant
holiday_cnt_y2 has constant value "23432" Constant
holiday_cnt_y3 has constant value "23432" Constant
close_holiday_cnt_m3 has constant value "23432" Constant
close_holiday_cnt_m6 has constant value "23432" Constant
close_holiday_cnt_y1 has constant value "23432" Constant
close_holiday_cnt_y2 has constant value "23432" Constant
close_holiday_cnt_y3 has constant value "23432" Constant
birth_interval_day has constant value "23432" Constant
dist_cnt_y2 has constant value "23432" Constant
flt_nature_cnt_y2 has constant value "23432" Constant
select_seat_cnt_m3 has constant value "23432" Constant
select_seat_cnt_m6 has constant value "23432" Constant
flt_cancel_cnt_m3 has constant value "23432" Constant
flt_cancel_cnt_m6 has constant value "23432" Constant
flt_cancel_cnt_y1 has constant value "23432" Constant
flt_cancel_cnt_y2 has constant value "23432" Constant
rest_cnt_m3 has constant value "23432" Constant
rest_cnt_m6 has constant value "23432" Constant
rest_cnt_y1 has constant value "23432" Constant
rest_cnt_y2 has constant value "23432" Constant
rest_cnt_y3 has constant value "23432" Constant
tkt_avg_amt has constant value "23432" Constant
tkt_avg_disc_m3 has constant value "23432" Constant
tkt_avg_disc_m6 has constant value "23432" Constant
tkt_avg_disc_y1 has constant value "23432" Constant
tkt_avg_disc_y2 has constant value "23432" Constant
tkt_avg_disc_y3 has constant value "23432" Constant
mdl_lost_idx has constant value "23432" Constant
mdl_loyal has constant value "23432" Constant
pit_accu_cnt_m6 has constant value "23432" Constant
pit_accu_cnt_y1 has constant value "23432" Constant
pit_accu_cnt_y2 has constant value "23432" Constant
pit_accu_cnt_y3 has constant value "23432" Constant
pit_add_buy_amt_m3 has constant value "23432" Constant
pit_add_buy_amt_m6 has constant value "23432" Constant
pit_add_mnl_amt_m3 has constant value "23432" Constant
pit_add_mnl_amt_m6 has constant value "23432" Constant
pit_add_mnl_amt_y1 has constant value "23432" Constant
pit_add_mnl_amt_y2 has constant value "23432" Constant
pit_add_mnl_amt_y3 has constant value "23432" Constant
pit_add_ech_amt_m3 has constant value "23432" Constant
pit_add_ech_amt_m6 has constant value "23432" Constant
pit_add_ech_amt_y1 has constant value "23432" Constant
pit_add_ech_amt_y2 has constant value "23432" Constant
pit_add_ech_amt_y3 has constant value "23432" Constant
pit_add_oth_amt_m3 has constant value "23432" Constant
pit_add_oth_amt_m6 has constant value "23432" Constant
pit_add_oth_amt_y1 has constant value "23432" Constant
pit_add_oth_amt_y2 has constant value "23432" Constant
pit_add_oth_amt_y3 has constant value "23432" Constant
pit_des_tkt_amt_m3 has constant value "23432" Constant
pit_des_tkt_amt_m6 has constant value "23432" Constant
pit_des_tkt_amt_y1 has constant value "23432" Constant
pit_des_tkt_amt_y2 has constant value "23432" Constant
pit_des_tkt_amt_y3 has constant value "23432" Constant
pit_des_bag_amt_m3 has constant value "23432" Constant
pit_des_bag_amt_m6 has constant value "23432" Constant
pit_des_bag_amt_y1 has constant value "23432" Constant
pit_des_bag_amt_y2 has constant value "23432" Constant
pit_des_bag_amt_y3 has constant value "23432" Constant
pit_des_mall_amt_m3 has constant value "23432" Constant
pit_des_selt_amt_m3 has constant value "23432" Constant
pit_des_selt_amt_m6 has constant value "23432" Constant
pit_des_selt_amt_y1 has constant value "23432" Constant
pit_des_selt_amt_y2 has constant value "23432" Constant
pit_des_selt_amt_y3 has constant value "23432" Constant
pit_des_oth_amt_m3 has constant value "23432" Constant
pit_des_oth_amt_m6 has constant value "23432" Constant
pit_des_oth_amt_y1 has constant value "23432" Constant
pit_des_oth_amt_y2 has constant value "23432" Constant
pit_des_oth_amt_y3 has constant value "23432" Constant
pit_add_buy_cnt_m3 has constant value "23432" Constant
pit_add_buy_cnt_m6 has constant value "23432" Constant
pit_add_mnl_cnt_m3 has constant value "23432" Constant
pit_add_mnl_cnt_m6 has constant value "23432" Constant
pit_add_mnl_cnt_y1 has constant value "23432" Constant
pit_add_mnl_cnt_y2 has constant value "23432" Constant
pit_add_mnl_cnt_y3 has constant value "23432" Constant
pit_add_ech_cnt_m3 has constant value "23432" Constant
pit_add_ech_cnt_m6 has constant value "23432" Constant
pit_add_ech_cnt_y1 has constant value "23432" Constant
pit_add_ech_cnt_y2 has constant value "23432" Constant
pit_add_ech_cnt_y3 has constant value "23432" Constant
pit_add_oth_cnt_m3 has constant value "23432" Constant
pit_add_oth_cnt_m6 has constant value "23432" Constant
pit_add_oth_cnt_y1 has constant value "23432" Constant
pit_add_oth_cnt_y2 has constant value "23432" Constant
pit_add_oth_cnt_y3 has constant value "23432" Constant
pit_des_tkt_cnt_m3 has constant value "23432" Constant
pit_des_tkt_cnt_m6 has constant value "23432" Constant
pit_des_tkt_cnt_y1 has constant value "23432" Constant
pit_des_tkt_cnt_y2 has constant value "23432" Constant
pit_des_tkt_cnt_y3 has constant value "23432" Constant
pit_des_bag_cnt_m3 has constant value "23432" Constant
pit_des_bag_cnt_m6 has constant value "23432" Constant
pit_des_bag_cnt_y1 has constant value "23432" Constant
pit_des_bag_cnt_y2 has constant value "23432" Constant
pit_des_bag_cnt_y3 has constant value "23432" Constant
pit_des_selt_cnt_m3 has constant value "23432" Constant
pit_des_selt_cnt_m6 has constant value "23432" Constant
pit_des_selt_cnt_y1 has constant value "23432" Constant
pit_des_selt_cnt_y2 has constant value "23432" Constant
pit_des_selt_cnt_y3 has constant value "23432" Constant
pit_des_oth_cnt_m3 has constant value "23432" Constant
pit_des_oth_cnt_m6 has constant value "23432" Constant
pit_des_oth_cnt_y1 has constant value "23432" Constant
pit_des_oth_cnt_y2 has constant value "23432" Constant
pit_des_oth_cnt_y3 has constant value "23432" Constant
Dataset has 51 (0.2%) duplicate rows Duplicates
pax_name has a high cardinality: 20972 distinct values High cardinality
pax_passport has a high cardinality: 21075 distinct values High cardinality
seg_dep_time has a high cardinality: 5655 distinct values High cardinality
birth_date has a high cardinality: 2915 distinct values High cardinality
nation_name has a high cardinality: 56 distinct values High cardinality
city_name has a high cardinality: 298 distinct values High cardinality
province_name has a high cardinality: 88 distinct values High cardinality
pref_orig_m3_1 has a high cardinality: 63 distinct values High cardinality
pref_orig_m3_2 has a high cardinality: 84 distinct values High cardinality
pref_orig_m3_3 has a high cardinality: 68 distinct values High cardinality
pref_orig_m3_4 has a high cardinality: 56 distinct values High cardinality
pref_orig_m3_5 has a high cardinality: 51 distinct values High cardinality
pref_orig_m6_1 has a high cardinality: 73 distinct values High cardinality
pref_orig_m6_2 has a high cardinality: 100 distinct values High cardinality
pref_orig_m6_3 has a high cardinality: 89 distinct values High cardinality
pref_orig_m6_4 has a high cardinality: 80 distinct values High cardinality
pref_orig_m6_5 has a high cardinality: 67 distinct values High cardinality
pref_orig_y1_1 has a high cardinality: 80 distinct values High cardinality
pref_orig_y1_2 has a high cardinality: 116 distinct values High cardinality
pref_orig_y1_3 has a high cardinality: 118 distinct values High cardinality
pref_orig_y1_4 has a high cardinality: 94 distinct values High cardinality
pref_orig_y1_5 has a high cardinality: 87 distinct values High cardinality
pref_orig_y2_1 has a high cardinality: 79 distinct values High cardinality
pref_orig_y2_2 has a high cardinality: 131 distinct values High cardinality
pref_orig_y2_3 has a high cardinality: 134 distinct values High cardinality
pref_orig_y2_4 has a high cardinality: 120 distinct values High cardinality
pref_orig_y2_5 has a high cardinality: 102 distinct values High cardinality
pref_orig_y3_1 has a high cardinality: 73 distinct values High cardinality
pref_orig_y3_2 has a high cardinality: 130 distinct values High cardinality
pref_orig_y3_3 has a high cardinality: 141 distinct values High cardinality
pref_orig_y3_4 has a high cardinality: 132 distinct values High cardinality
pref_orig_y3_5 has a high cardinality: 108 distinct values High cardinality
pref_line_m3_1 has a high cardinality: 176 distinct values High cardinality
pref_line_m3_2 has a high cardinality: 195 distinct values High cardinality
pref_line_m3_3 has a high cardinality: 155 distinct values High cardinality
pref_line_m3_4 has a high cardinality: 140 distinct values High cardinality
pref_line_m3_5 has a high cardinality: 108 distinct values High cardinality
pref_line_m6_1 has a high cardinality: 219 distinct values High cardinality
pref_line_m6_2 has a high cardinality: 269 distinct values High cardinality
pref_line_m6_3 has a high cardinality: 224 distinct values High cardinality
pref_line_m6_4 has a high cardinality: 198 distinct values High cardinality
pref_line_m6_5 has a high cardinality: 161 distinct values High cardinality
pref_line_y1_1 has a high cardinality: 282 distinct values High cardinality
pref_line_y1_2 has a high cardinality: 334 distinct values High cardinality
pref_line_y1_3 has a high cardinality: 306 distinct values High cardinality
pref_line_y1_4 has a high cardinality: 288 distinct values High cardinality
pref_line_y1_5 has a high cardinality: 242 distinct values High cardinality
pref_line_y2_1 has a high cardinality: 322 distinct values High cardinality
pref_line_y2_2 has a high cardinality: 377 distinct values High cardinality
pref_line_y2_3 has a high cardinality: 411 distinct values High cardinality
pref_line_y2_4 has a high cardinality: 390 distinct values High cardinality
pref_line_y2_5 has a high cardinality: 348 distinct values High cardinality
pref_line_y3_1 has a high cardinality: 312 distinct values High cardinality
pref_line_y3_2 has a high cardinality: 379 distinct values High cardinality
pref_line_y3_3 has a high cardinality: 442 distinct values High cardinality
pref_line_y3_4 has a high cardinality: 435 distinct values High cardinality
pref_line_y3_5 has a high cardinality: 394 distinct values High cardinality
pref_city_m3_1 has a high cardinality: 61 distinct values High cardinality
pref_city_m3_2 has a high cardinality: 84 distinct values High cardinality
pref_city_m3_3 has a high cardinality: 68 distinct values High cardinality
pref_city_m3_4 has a high cardinality: 56 distinct values High cardinality
pref_city_m6_1 has a high cardinality: 76 distinct values High cardinality
pref_city_m6_2 has a high cardinality: 103 distinct values High cardinality
pref_city_m6_3 has a high cardinality: 89 distinct values High cardinality
pref_city_m6_4 has a high cardinality: 74 distinct values High cardinality
pref_city_m6_5 has a high cardinality: 64 distinct values High cardinality
pref_city_y1_1 has a high cardinality: 92 distinct values High cardinality
pref_city_y1_2 has a high cardinality: 123 distinct values High cardinality
pref_city_y1_3 has a high cardinality: 119 distinct values High cardinality
pref_city_y1_4 has a high cardinality: 107 distinct values High cardinality
pref_city_y1_5 has a high cardinality: 98 distinct values High cardinality
pref_city_y2_1 has a high cardinality: 85 distinct values High cardinality
pref_city_y2_2 has a high cardinality: 127 distinct values High cardinality
pref_city_y2_3 has a high cardinality: 141 distinct values High cardinality
pref_city_y2_4 has a high cardinality: 132 distinct values High cardinality
pref_city_y2_5 has a high cardinality: 107 distinct values High cardinality
pref_city_y3_1 has a high cardinality: 78 distinct values High cardinality
pref_city_y3_2 has a high cardinality: 130 distinct values High cardinality
pref_city_y3_3 has a high cardinality: 149 distinct values High cardinality
pref_city_y3_4 has a high cardinality: 146 distinct values High cardinality
pref_city_y3_5 has a high cardinality: 116 distinct values High cardinality
recent_flt_day has a high cardinality: 994 distinct values High cardinality
pref_orig_city_m3 has a high cardinality: 76 distinct values High cardinality
pref_orig_city_m6 has a high cardinality: 90 distinct values High cardinality
pref_orig_city_y1 has a high cardinality: 102 distinct values High cardinality
pref_orig_city_y2 has a high cardinality: 104 distinct values High cardinality
pref_orig_city_y3 has a high cardinality: 102 distinct values High cardinality
pref_dest_city_m3 has a high cardinality: 77 distinct values High cardinality
pref_dest_city_m6 has a high cardinality: 90 distinct values High cardinality
pref_dest_city_y1 has a high cardinality: 94 distinct values High cardinality
pref_dest_city_y2 has a high cardinality: 95 distinct values High cardinality
pref_dest_city_y3 has a high cardinality: 89 distinct values High cardinality
cabin_hf_cnt_y2 is highly skewed (γ1 = 52.35980137) Skewed
cabin_hf_cnt_y3 is highly skewed (γ1 = 45.0109265) Skewed
cabin_f_cnt_y1 is highly skewed (γ1 = 75.27067417) Skewed
cabin_f_cnt_y2 is highly skewed (γ1 = 37.11331926) Skewed
cabin_f_cnt_y3 is highly skewed (γ1 = 52.59463713) Skewed
cabin_c_cnt_m3 is highly skewed (γ1 = 20.76038058) Skewed
prebuy_d_cnt_m3_d3 is highly skewed (γ1 = 49.64532951) Skewed
prebuy_d_cnt_m3_d7 is highly skewed (γ1 = 42.25028575) Skewed
prebuy_d_cnt_m3_d14 is highly skewed (γ1 = 35.91425239) Skewed
prebuy_d_cnt_m3_d30 is highly skewed (γ1 = 32.62798284) Skewed
prebuy_d_cnt_m6_d3 is highly skewed (γ1 = 47.69461746) Skewed
prebuy_d_cnt_m6_d7 is highly skewed (γ1 = 40.26933566) Skewed
prebuy_d_cnt_m6_d14 is highly skewed (γ1 = 45.49692392) Skewed
prebuy_d_cnt_m6_d30 is highly skewed (γ1 = 28.0286199) Skewed
prebuy_d_cnt_y1_d3 is highly skewed (γ1 = 54.45392832) Skewed
prebuy_d_cnt_y1_d7 is highly skewed (γ1 = 34.17782566) Skewed
prebuy_d_cnt_y1_d14 is highly skewed (γ1 = 39.9533079) Skewed
prebuy_d_cnt_y1_d30 is highly skewed (γ1 = 30.63989357) Skewed
prebuy_d_cnt_y2_d3 is highly skewed (γ1 = 50.26048967) Skewed
prebuy_d_cnt_y2_d7 is highly skewed (γ1 = 32.75147358) Skewed
prebuy_d_cnt_y2_d14 is highly skewed (γ1 = 37.70067109) Skewed
prebuy_d_cnt_y2_d30 is highly skewed (γ1 = 24.36002807) Skewed
prebuy_d_cnt_y3_d3 is highly skewed (γ1 = 40.60749126) Skewed
prebuy_d_cnt_y3_d7 is highly skewed (γ1 = 32.12302411) Skewed
prebuy_d_cnt_y3_d14 is highly skewed (γ1 = 34.72185369) Skewed
prebuy_d_cnt_y3_d30 is highly skewed (γ1 = 24.60735359) Skewed
prebuy_i_cnt_m3_d14 is highly skewed (γ1 = 20.4641742) Skewed
prebuy_i_cnt_m6_d3 is highly skewed (γ1 = 26.67529951) Skewed
prebuy_i_cnt_m6_d7 is highly skewed (γ1 = 22.16396034) Skewed
prebuy_i_cnt_m6_d14 is highly skewed (γ1 = 20.47979096) Skewed
prebuy_i_cnt_y1_d7 is highly skewed (γ1 = 24.01110662) Skewed
prebuy_i_cnt_y1_d14 is highly skewed (γ1 = 21.24398783) Skewed
next_flt_day is highly skewed (γ1 = 30.39937223) Skewed
complain_valid_cnt_m3 is highly skewed (γ1 = 31.47050093) Skewed
complain_valid_cnt_m6 is highly skewed (γ1 = 29.77369575) Skewed
complain_valid_cnt_y1 is highly skewed (γ1 = 28.62363139) Skewed
complain_valid_cnt_y2 is highly skewed (γ1 = 24.97405478) Skewed
complain_valid_cnt_y3 is highly skewed (γ1 = 22.88127231) Skewed
bag_cnt_y2 is highly skewed (γ1 = 22.75114733) Skewed
bag_cnt_y3 is highly skewed (γ1 = 20.48130384) Skewed
cabin_upgrd_cnt_m3 is highly skewed (γ1 = 75.87758318) Skewed
cabin_upgrd_cnt_m6 is highly skewed (γ1 = 74.1431506) Skewed
cabin_upgrd_cnt_y1 is highly skewed (γ1 = 84.32190449) Skewed
cabin_upgrd_cnt_y2 is highly skewed (γ1 = 55.21611574) Skewed
cabin_upgrd_cnt_y3 is highly skewed (γ1 = 52.57947435) Skewed
dist_d_cnt_m3 is highly skewed (γ1 = 27.6602522) Skewed
dist_d_cnt_m6 is highly skewed (γ1 = 28.29136683) Skewed
dist_d_cnt_y1 is highly skewed (γ1 = 27.95559288) Skewed
dist_d_cnt_y2 is highly skewed (γ1 = 26.54117466) Skewed
dist_d_cnt_y3 is highly skewed (γ1 = 25.2101788) Skewed
cabin_hd_cnt_m3 is highly skewed (γ1 = 48.94877245) Skewed
cabin_hd_cnt_m6 is highly skewed (γ1 = 48.62454728) Skewed
cabin_hd_cnt_y1 is highly skewed (γ1 = 51.19109557) Skewed
cabin_hd_cnt_y2 is highly skewed (γ1 = 44.24380715) Skewed
cabin_hd_cnt_y3 is highly skewed (γ1 = 42.96908044) Skewed
cabin_hi_cnt_m3 is highly skewed (γ1 = 20.17415111) Skewed
flt_leg_d_cnt_m3 is highly skewed (γ1 = 30.24674126) Skewed
flt_leg_d_cnt_m6 is highly skewed (γ1 = 29.3855664) Skewed
flt_leg_d_cnt_y1 is highly skewed (γ1 = 30.35733177) Skewed
flt_leg_d_cnt_y2 is highly skewed (γ1 = 28.18227068) Skewed
flt_leg_d_cnt_y3 is highly skewed (γ1 = 25.74500235) Skewed
flt_delay_time_y3 is highly skewed (γ1 = 79.1271008) Skewed
complain_cnt_m3 is highly skewed (γ1 = 30.04176815) Skewed
complain_cnt_m6 is highly skewed (γ1 = 28.57118272) Skewed
complain_cnt_y1 is highly skewed (γ1 = 27.4438499) Skewed
complain_cnt_y2 is highly skewed (γ1 = 24.05101213) Skewed
complain_cnt_y3 is highly skewed (γ1 = 22.04178556) Skewed
noshow_rate_m3 is highly skewed (γ1 = 39.54392117) Skewed
noshow_rate_m6 is highly skewed (γ1 = 51.84390693) Skewed
noshow_rate_y1 is highly skewed (γ1 = 35.97995414) Skewed
tkt_d_amt_m3 is highly skewed (γ1 = 38.90284808) Skewed
tkt_d_amt_m6 is highly skewed (γ1 = 37.53800714) Skewed
tkt_d_amt_y1 is highly skewed (γ1 = 37.27477625) Skewed
tkt_d_amt_y2 is highly skewed (γ1 = 34.48081088) Skewed
tkt_d_amt_y3 is highly skewed (γ1 = 33.17186656) Skewed
tkt_return_cnt_m6 is highly skewed (γ1 = 26.66544975) Skewed
tkt_return_cnt_y1 is highly skewed (γ1 = 27.5900887) Skewed
tkt_return_cnt_y2 is highly skewed (γ1 = 23.06370285) Skewed
tkt_return_cnt_y3 is highly skewed (γ1 = 20.64613467) Skewed
tkt_return_all_cnt_m6 is highly skewed (γ1 = 29.66891599) Skewed
tkt_avg_interval_m3 is highly skewed (γ1 = 32.55566124) Skewed
tkt_avg_interval_m6 is highly skewed (γ1 = 24.48343263) Skewed
pit_out_amt is highly skewed (γ1 = 53.8288132) Skewed
pit_accu_non_cnt is highly skewed (γ1 = 43.89569192) Skewed
pit_accu_air_cnt is highly skewed (γ1 = 29.95970664) Skewed
pit_accu_non_amt is highly skewed (γ1 = 72.43716819) Skewed
pit_next_level_leg is highly skewed (γ1 = -29.20677112) Skewed
pit_accu_amt_m3 is highly skewed (γ1 = 29.87774911) Skewed
pit_cons_amt_m3 is highly skewed (γ1 = 84.05531869) Skewed
pit_cons_amt_m6 is highly skewed (γ1 = 22.97631057) Skewed
pit_avg_accu_amt_m3 is highly skewed (γ1 = 31.61173069) Skewed
pit_avg_cons_amt_m3 is highly skewed (γ1 = 84.05531869) Skewed
pit_avg_cons_amt_m6 is highly skewed (γ1 = 21.74461742) Skewed
pit_add_air_amt_m3 is highly skewed (γ1 = 36.08962254) Skewed
pit_add_air_amt_m6 is highly skewed (γ1 = 24.47042749) Skewed
pit_add_air_amt_y1 is highly skewed (γ1 = 20.1796255) Skewed
pit_add_non_amt_m3 is highly skewed (γ1 = 86.44650125) Skewed
pit_add_non_amt_m6 is highly skewed (γ1 = 86.87120428) Skewed
pit_add_non_amt_y1 is highly skewed (γ1 = 73.65711862) Skewed
pit_add_non_amt_y2 is highly skewed (γ1 = 84.96899308) Skewed
pit_add_non_amt_y3 is highly skewed (γ1 = 82.70041203) Skewed
pit_add_buy_amt_y2 is highly skewed (γ1 = 78.24028864) Skewed
pit_add_buy_amt_y3 is highly skewed (γ1 = 70.43256579) Skewed
pit_des_upg_amt_m6 is highly skewed (γ1 = 35.62442917) Skewed
pit_des_upg_amt_y1 is highly skewed (γ1 = 32.41149171) Skewed
pit_des_upg_amt_y2 is highly skewed (γ1 = 29.44040819) Skewed
pit_des_upg_amt_y3 is highly skewed (γ1 = 33.32137185) Skewed
pit_des_mall_amt_m6 is highly skewed (γ1 = 73.29643269) Skewed
pit_des_mall_amt_y1 is highly skewed (γ1 = 52.53473975) Skewed
pit_des_mall_amt_y2 is highly skewed (γ1 = 44.88456841) Skewed
pit_des_mall_amt_y3 is highly skewed (γ1 = 46.72178007) Skewed
pit_des_out_amt_m3 is highly skewed (γ1 = 82.86113415) Skewed
pit_des_out_amt_m6 is highly skewed (γ1 = 53.70918365) Skewed
pit_des_out_amt_y1 is highly skewed (γ1 = 49.11973276) Skewed
pit_des_out_amt_y2 is highly skewed (γ1 = 46.98310029) Skewed
pit_des_out_amt_y3 is highly skewed (γ1 = 35.60867787) Skewed
pit_add_non_cnt_m6 is highly skewed (γ1 = 45.20325219) Skewed
pit_add_non_cnt_y1 is highly skewed (γ1 = 39.2689012) Skewed
pit_add_non_cnt_y2 is highly skewed (γ1 = 27.07928104) Skewed
pit_add_non_cnt_y3 is highly skewed (γ1 = 27.68539238) Skewed
pit_des_upg_cnt_y2 is highly skewed (γ1 = 29.6153113) Skewed
pit_des_upg_cnt_y3 is highly skewed (γ1 = 32.67199377) Skewed
pit_des_mall_cnt_y1 is highly skewed (γ1 = 34.55618155) Skewed
pit_des_mall_cnt_y2 is highly skewed (γ1 = 28.26273721) Skewed
pit_des_mall_cnt_y3 is highly skewed (γ1 = 25.69484329) Skewed
pit_avg_amt_m3 is highly skewed (γ1 = 25.21216882) Skewed
pit_avg_amt_m6 is highly skewed (γ1 = 21.39312066) Skewed
pit_avg_interval_m3 is highly skewed (γ1 = 40.80497247) Skewed
pit_ech_avg_amt_m3 is highly skewed (γ1 = 38.34193723) Skewed
pit_ech_avg_amt_m6 is highly skewed (γ1 = 38.42836078) Skewed
pit_ech_avg_amt_y1 is highly skewed (γ1 = 23.49926118) Skewed
pit_ech_avg_amt_y2 is highly skewed (γ1 = 20.24546542) Skewed
pit_out_avg_amt_m3 is highly skewed (γ1 = 95.23608651) Skewed
pit_out_avg_amt_m6 is highly skewed (γ1 = 69.76454855) Skewed
pit_out_avg_amt_y1 is highly skewed (γ1 = 126.5649219) Skewed
pit_out_avg_amt_y2 is highly skewed (γ1 = 33.88109999) Skewed
pit_out_avg_amt_y3 is highly skewed (γ1 = 30.01892569) Skewed
pit_pay_cnt_m6 is highly skewed (γ1 = 21.83831049) Skewed
pit_pay_cnt_y1 is highly skewed (γ1 = 21.43992586) Skewed
pit_income_avg_amt_m3 is highly skewed (γ1 = 31.61173069) Skewed
pit_pay_avg_amt_m3 is highly skewed (γ1 = 84.05531869) Skewed
pit_pay_avg_amt_m6 is highly skewed (γ1 = 21.74461742) Skewed
pref_aircraft_m3_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
pref_aircraft_m3_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
pref_aircraft_m3_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
ffp_nbr has 19021 (81.2%) zeros Zeros
cabin_hf_cnt_y2 has 23306 (99.5%) zeros Zeros
cabin_hf_cnt_y3 has 23261 (99.3%) zeros Zeros
cabin_f_cnt_y1 has 23376 (99.8%) zeros Zeros
cabin_f_cnt_y2 has 23260 (99.3%) zeros Zeros
cabin_f_cnt_y3 has 23219 (99.1%) zeros Zeros
cabin_hy_cnt_m3 has 23193 (99.0%) zeros Zeros
cabin_hy_cnt_m6 has 22966 (98.0%) zeros Zeros
cabin_hy_cnt_y1 has 22457 (95.8%) zeros Zeros
cabin_hy_cnt_y2 has 20944 (89.4%) zeros Zeros
cabin_hy_cnt_y3 has 19952 (85.1%) zeros Zeros
cabin_y_cnt_m3 has 22797 (97.3%) zeros Zeros
cabin_y_cnt_m6 has 22389 (95.5%) zeros Zeros
cabin_y_cnt_y1 has 21226 (90.6%) zeros Zeros
cabin_y_cnt_y2 has 17469 (74.6%) zeros Zeros
cabin_y_cnt_y3 has 16096 (68.7%) zeros Zeros
cabin_c_cnt_m3 has 23257 (99.3%) zeros Zeros
cabin_c_cnt_m6 has 23133 (98.7%) zeros Zeros
cabin_c_cnt_y1 has 22872 (97.6%) zeros Zeros
cabin_c_cnt_y2 has 22326 (95.3%) zeros Zeros
cabin_c_cnt_y3 has 22105 (94.3%) zeros Zeros
seat_window_cnt_m3 has 23052 (98.4%) zeros Zeros
seat_window_cnt_m6 has 22801 (97.3%) zeros Zeros
seat_window_cnt_y1 has 22083 (94.2%) zeros Zeros
seat_window_cnt_y2 has 19514 (83.3%) zeros Zeros
seat_window_cnt_y3 has 18387 (78.5%) zeros Zeros
seat_walkway_cnt_m3 has 22842 (97.5%) zeros Zeros
seat_walkway_cnt_m6 has 22413 (95.7%) zeros Zeros
seat_walkway_cnt_y1 has 21232 (90.6%) zeros Zeros
seat_walkway_cnt_y2 has 17693 (75.5%) zeros Zeros
seat_walkway_cnt_y3 has 16119 (68.8%) zeros Zeros
seat_middle_cnt_m3 has 23192 (99.0%) zeros Zeros
seat_middle_cnt_m6 has 22947 (97.9%) zeros Zeros
seat_middle_cnt_y1 has 22210 (94.8%) zeros Zeros
seat_middle_cnt_y2 has 19779 (84.4%) zeros Zeros
seat_middle_cnt_y3 has 18582 (79.3%) zeros Zeros
prebuy_d_cnt_m3_d3 has 23336 (99.6%) zeros Zeros
prebuy_d_cnt_m3_d7 has 23362 (99.7%) zeros Zeros
prebuy_d_cnt_m3_d14 has 23359 (99.7%) zeros Zeros
prebuy_d_cnt_m3_d30 has 23369 (99.7%) zeros Zeros
prebuy_d_cnt_m3_d99 has 23321 (99.5%) zeros Zeros
prebuy_d_cnt_m6_d3 has 23265 (99.3%) zeros Zeros
prebuy_d_cnt_m6_d7 has 23308 (99.5%) zeros Zeros
prebuy_d_cnt_m6_d14 has 23295 (99.4%) zeros Zeros
prebuy_d_cnt_m6_d30 has 23330 (99.6%) zeros Zeros
prebuy_d_cnt_m6_d99 has 23211 (99.1%) zeros Zeros
prebuy_d_cnt_y1_d3 has 23132 (98.7%) zeros Zeros
prebuy_d_cnt_y1_d7 has 23210 (99.1%) zeros Zeros
prebuy_d_cnt_y1_d14 has 23178 (98.9%) zeros Zeros
prebuy_d_cnt_y1_d30 has 23150 (98.8%) zeros Zeros
prebuy_d_cnt_y1_d99 has 22881 (97.6%) zeros Zeros
prebuy_d_cnt_y2_d3 has 22843 (97.5%) zeros Zeros
prebuy_d_cnt_y2_d7 has 22962 (98.0%) zeros Zeros
prebuy_d_cnt_y2_d14 has 22860 (97.6%) zeros Zeros
prebuy_d_cnt_y2_d30 has 22709 (96.9%) zeros Zeros
prebuy_d_cnt_y2_d99 has 21879 (93.4%) zeros Zeros
prebuy_d_cnt_y3_d3 has 22647 (96.6%) zeros Zeros
prebuy_d_cnt_y3_d7 has 22782 (97.2%) zeros Zeros
prebuy_d_cnt_y3_d14 has 22627 (96.6%) zeros Zeros
prebuy_d_cnt_y3_d30 has 22400 (95.6%) zeros Zeros
prebuy_d_cnt_y3_d99 has 21529 (91.9%) zeros Zeros
prebuy_i_cnt_m3_d14 has 23324 (99.5%) zeros Zeros
prebuy_i_cnt_m3_d99 has 22853 (97.5%) zeros Zeros
prebuy_i_cnt_m6_d3 has 23321 (99.5%) zeros Zeros
prebuy_i_cnt_m6_d7 has 23303 (99.4%) zeros Zeros
prebuy_i_cnt_m6_d14 has 23210 (99.1%) zeros Zeros
prebuy_i_cnt_m6_d30 has 23077 (98.5%) zeros Zeros
prebuy_i_cnt_m6_d99 has 22467 (95.9%) zeros Zeros
prebuy_i_cnt_y1_d3 has 23113 (98.6%) zeros Zeros
prebuy_i_cnt_y1_d7 has 23142 (98.8%) zeros Zeros
prebuy_i_cnt_y1_d14 has 22901 (97.7%) zeros Zeros
prebuy_i_cnt_y1_d30 has 22696 (96.9%) zeros Zeros
prebuy_i_cnt_y1_d99 has 21106 (90.1%) zeros Zeros
prebuy_i_cnt_y2_d3 has 22491 (96.0%) zeros Zeros
prebuy_i_cnt_y2_d7 has 22538 (96.2%) zeros Zeros
prebuy_i_cnt_y2_d14 has 22168 (94.6%) zeros Zeros
prebuy_i_cnt_y2_d30 has 21323 (91.0%) zeros Zeros
prebuy_i_cnt_y2_d99 has 17156 (73.2%) zeros Zeros
prebuy_i_cnt_y3_d3 has 22027 (94.0%) zeros Zeros
prebuy_i_cnt_y3_d7 has 22107 (94.3%) zeros Zeros
prebuy_i_cnt_y3_d14 has 21559 (92.0%) zeros Zeros
prebuy_i_cnt_y3_d30 has 20330 (86.8%) zeros Zeros
prebuy_i_cnt_y3_d99 has 15666 (66.9%) zeros Zeros
pref_month_m3_1 has 22658 (96.7%) zeros Zeros
pref_month_m3_2 has 22658 (96.7%) zeros Zeros
pref_month_m3_3 has 22828 (97.4%) zeros Zeros
pref_month_m3_4 has 22884 (97.7%) zeros Zeros
pref_month_m3_5 has 22898 (97.7%) zeros Zeros
pref_month_m6_1 has 22164 (94.6%) zeros Zeros
pref_month_m6_2 has 22164 (94.6%) zeros Zeros
pref_month_m6_3 has 22470 (95.9%) zeros Zeros
pref_month_m6_4 has 22559 (96.3%) zeros Zeros
pref_month_m6_5 has 22604 (96.5%) zeros Zeros
pref_month_y1_1 has 20870 (89.1%) zeros Zeros
pref_month_y1_2 has 20870 (89.1%) zeros Zeros
pref_month_y1_3 has 21617 (92.3%) zeros Zeros
pref_month_y1_4 has 21837 (93.2%) zeros Zeros
pref_month_y1_5 has 21949 (93.7%) zeros Zeros
pref_month_y2_1 has 17007 (72.6%) zeros Zeros
pref_month_y2_2 has 17007 (72.6%) zeros Zeros
pref_month_y2_3 has 19380 (82.7%) zeros Zeros
pref_month_y2_4 has 20098 (85.8%) zeros Zeros
pref_month_y2_5 has 20468 (87.4%) zeros Zeros
pref_month_y3_1 has 15619 (66.7%) zeros Zeros
pref_month_y3_2 has 15619 (66.7%) zeros Zeros
pref_month_y3_3 has 18470 (78.8%) zeros Zeros
pref_month_y3_4 has 19378 (82.7%) zeros Zeros
pref_month_y3_5 has 19982 (85.3%) zeros Zeros
flt_cnt_m3 has 22656 (96.7%) zeros Zeros
flt_cnt_m6 has 22176 (94.6%) zeros Zeros
flt_cnt_y1 has 20941 (89.4%) zeros Zeros
flt_cnt_y2 has 17053 (72.8%) zeros Zeros
flt_cnt_y3 has 15619 (66.7%) zeros Zeros
next_flt_day has 23049 (98.4%) zeros Zeros
dist_cnt_y1 has 18237 (77.8%) zeros Zeros
dist_cnt_y3 has 14178 (60.5%) zeros Zeros
flt_nature_cnt_y1 has 18231 (77.8%) zeros Zeros
flt_nature_cnt_y3 has 14176 (60.5%) zeros Zeros
avg_dist_cnt_m3 has 22451 (95.8%) zeros Zeros
avg_dist_cnt_m6 has 21754 (92.8%) zeros Zeros
avg_dist_cnt_y1 has 19699 (84.1%) zeros Zeros
avg_dist_cnt_y2 has 16255 (69.4%) zeros Zeros
avg_dist_cnt_y3 has 15619 (66.7%) zeros Zeros
complain_valid_cnt_m3 has 23381 (99.8%) zeros Zeros
complain_valid_cnt_m6 has 23374 (99.8%) zeros Zeros
complain_valid_cnt_y1 has 23369 (99.7%) zeros Zeros
complain_valid_cnt_y2 has 23358 (99.7%) zeros Zeros
complain_valid_cnt_y3 has 23333 (99.6%) zeros Zeros
bag_cnt_y2 has 23327 (99.6%) zeros Zeros
bag_cnt_y3 has 23301 (99.4%) zeros Zeros
cabin_upgrd_cnt_m3 has 23395 (99.8%) zeros Zeros
cabin_upgrd_cnt_m6 has 23358 (99.7%) zeros Zeros
cabin_upgrd_cnt_y1 has 23272 (99.3%) zeros Zeros
cabin_upgrd_cnt_y2 has 23159 (98.8%) zeros Zeros
cabin_upgrd_cnt_y3 has 23084 (98.5%) zeros Zeros
select_seat_cnt_y2 has 22955 (98.0%) zeros Zeros
select_seat_cnt_y3 has 22836 (97.5%) zeros Zeros
dist_d_cnt_m3 has 23172 (98.9%) zeros Zeros
dist_d_cnt_m6 has 22969 (98.0%) zeros Zeros
dist_d_cnt_y1 has 22539 (96.2%) zeros Zeros
dist_d_cnt_y2 has 21436 (91.5%) zeros Zeros
dist_d_cnt_y3 has 21006 (89.6%) zeros Zeros
dist_i_cnt_m3 has 22618 (96.5%) zeros Zeros
dist_i_cnt_m6 has 22065 (94.2%) zeros Zeros
dist_i_cnt_y1 has 20581 (87.8%) zeros Zeros
dist_i_cnt_y2 has 16102 (68.7%) zeros Zeros
dist_i_cnt_y3 has 14238 (60.8%) zeros Zeros
dist_all_cnt_m3 has 22496 (96.0%) zeros Zeros
dist_all_cnt_m6 has 21905 (93.5%) zeros Zeros
dist_all_cnt_y1 has 20410 (87.1%) zeros Zeros
dist_all_cnt_y2 has 16005 (68.3%) zeros Zeros
dist_all_cnt_y3 has 14178 (60.5%) zeros Zeros
cabin_hd_cnt_m3 has 23359 (99.7%) zeros Zeros
cabin_hd_cnt_m6 has 23295 (99.4%) zeros Zeros
cabin_hd_cnt_y1 has 23193 (99.0%) zeros Zeros
cabin_hd_cnt_y2 has 23095 (98.6%) zeros Zeros
cabin_hd_cnt_y3 has 23036 (98.3%) zeros Zeros
cabin_hi_cnt_m3 has 23257 (99.3%) zeros Zeros
cabin_hi_cnt_m6 has 23142 (98.8%) zeros Zeros
cabin_hi_cnt_y1 has 22874 (97.6%) zeros Zeros
cabin_hi_cnt_y2 has 22323 (95.3%) zeros Zeros
cabin_hi_cnt_y3 has 22109 (94.4%) zeros Zeros
flt_leg_cnt_m3 has 22496 (96.0%) zeros Zeros
flt_leg_cnt_m6 has 21905 (93.5%) zeros Zeros
flt_leg_cnt_y1 has 20410 (87.1%) zeros Zeros
flt_leg_cnt_y2 has 16003 (68.3%) zeros Zeros
flt_leg_cnt_y3 has 14176 (60.5%) zeros Zeros
flt_leg_i_cnt_m3 has 22618 (96.5%) zeros Zeros
flt_leg_i_cnt_m6 has 22065 (94.2%) zeros Zeros
flt_leg_i_cnt_y1 has 20581 (87.8%) zeros Zeros
flt_leg_i_cnt_y2 has 16100 (68.7%) zeros Zeros
flt_leg_i_cnt_y3 has 14236 (60.8%) zeros Zeros
flt_leg_d_cnt_m3 has 23172 (98.9%) zeros Zeros
flt_leg_d_cnt_m6 has 22969 (98.0%) zeros Zeros
flt_leg_d_cnt_y1 has 22539 (96.2%) zeros Zeros
flt_leg_d_cnt_y2 has 21436 (91.5%) zeros Zeros
flt_leg_d_cnt_y3 has 21006 (89.6%) zeros Zeros
flt_delay_cnt_m6 has 23051 (98.4%) zeros Zeros
flt_delay_cnt_y1 has 22404 (95.6%) zeros Zeros
flt_delay_cnt_y2 has 20183 (86.1%) zeros Zeros
flt_delay_cnt_y3 has 18846 (80.4%) zeros Zeros
flt_delay_time_m3 has 20232 (86.3%) zeros Zeros
flt_delay_time_m6 has 20260 (86.5%) zeros Zeros
flt_delay_time_y1 has 20328 (86.8%) zeros Zeros
flt_delay_time_y2 has 20782 (88.7%) zeros Zeros
flt_delay_time_y3 has 21438 (91.5%) zeros Zeros
flt_bag_cnt_m3 has 22635 (96.6%) zeros Zeros
flt_bag_cnt_m6 has 22115 (94.4%) zeros Zeros
flt_bag_cnt_y1 has 20735 (88.5%) zeros Zeros
flt_bag_cnt_y2 has 16777 (71.6%) zeros Zeros
flt_bag_cnt_y3 has 15133 (64.6%) zeros Zeros
complain_cnt_m3 has 23361 (99.7%) zeros Zeros
complain_cnt_m6 has 23354 (99.7%) zeros Zeros
complain_cnt_y1 has 23347 (99.6%) zeros Zeros
complain_cnt_y2 has 23333 (99.6%) zeros Zeros
complain_cnt_y3 has 23304 (99.5%) zeros Zeros
noshow_rate_m3 has 23397 (99.9%) zeros Zeros
noshow_rate_m6 has 23383 (99.8%) zeros Zeros
noshow_rate_y1 has 23342 (99.6%) zeros Zeros
noshow_rate_y2 has 23196 (99.0%) zeros Zeros
noshow_rate_y3 has 23138 (98.7%) zeros Zeros
tkt_3y_amt has 14247 (60.8%) zeros Zeros
tkt_d_amt_m3 has 23196 (99.0%) zeros Zeros
tkt_d_amt_m6 has 23007 (98.2%) zeros Zeros
tkt_d_amt_y1 has 22584 (96.4%) zeros Zeros
tkt_d_amt_y2 has 21487 (91.7%) zeros Zeros
tkt_d_amt_y3 has 21053 (89.8%) zeros Zeros
tkt_i_amt_m3 has 22823 (97.4%) zeros Zeros
tkt_i_amt_m6 has 22388 (95.5%) zeros Zeros
tkt_i_amt_y1 has 21183 (90.4%) zeros Zeros
tkt_i_amt_y2 has 17202 (73.4%) zeros Zeros
tkt_i_amt_y3 has 15708 (67.0%) zeros Zeros
tkt_all_amt_m3 has 22711 (96.9%) zeros Zeros
tkt_all_amt_m6 has 22248 (94.9%) zeros Zeros
tkt_all_amt_y1 has 21034 (89.8%) zeros Zeros
tkt_all_amt_y2 has 17112 (73.0%) zeros Zeros
tkt_all_amt_y3 has 15654 (66.8%) zeros Zeros
tkt_avg_amt_m3 has 22711 (96.9%) zeros Zeros
tkt_avg_amt_m6 has 22248 (94.9%) zeros Zeros
tkt_avg_amt_y1 has 21034 (89.8%) zeros Zeros
tkt_avg_amt_y2 has 17112 (73.0%) zeros Zeros
tkt_avg_amt_y3 has 15654 (66.8%) zeros Zeros
tkt_return_cnt_m6 has 23362 (99.7%) zeros Zeros
tkt_return_cnt_y1 has 23264 (99.3%) zeros Zeros
tkt_return_cnt_y2 has 23073 (98.5%) zeros Zeros
tkt_return_cnt_y3 has 22966 (98.0%) zeros Zeros
tkt_book_cnt_m3 has 23327 (99.6%) zeros Zeros
tkt_book_cnt_m6 has 22948 (97.9%) zeros Zeros
tkt_book_cnt_y1 has 22520 (96.1%) zeros Zeros
tkt_book_cnt_y2 has 21280 (90.8%) zeros Zeros
tkt_book_cnt_y3 has 20761 (88.6%) zeros Zeros
tkt_return_all_cnt_m6 has 23308 (99.5%) zeros Zeros
tkt_return_all_cnt_y1 has 23191 (99.0%) zeros Zeros
tkt_return_all_cnt_y2 has 22993 (98.1%) zeros Zeros
tkt_return_all_cnt_y3 has 22921 (97.8%) zeros Zeros
tkt_avg_interval_m3 has 23383 (99.8%) zeros Zeros
tkt_avg_interval_m6 has 23298 (99.4%) zeros Zeros
tkt_avg_interval_y1 has 23078 (98.5%) zeros Zeros
tkt_avg_interval_y2 has 22640 (96.6%) zeros Zeros
tkt_avg_interval_y3 has 22339 (95.3%) zeros Zeros
pit_all_amt has 20871 (89.1%) zeros Zeros
pit_out_amt has 23419 (99.9%) zeros Zeros
pit_accu_non_cnt has 22831 (97.4%) zeros Zeros
pit_accu_air_cnt has 20908 (89.2%) zeros Zeros
pit_accu_air_amt has 20908 (89.2%) zeros Zeros
pit_accu_non_amt has 22947 (97.9%) zeros Zeros
pit_now_cons_amt has 20871 (89.1%) zeros Zeros
pit_next_level_dist has 21279 (90.8%) zeros Zeros
pit_next_level_leg has 23422 (> 99.9%) zeros Zeros
mdl_mcv has 15863 (67.7%) zeros Zeros
mdl_influence has 22153 (94.5%) zeros Zeros
pit_accu_amt_m3 has 23300 (99.4%) zeros Zeros
pit_accu_amt_m6 has 22841 (97.5%) zeros Zeros
pit_accu_amt_y1 has 22229 (94.9%) zeros Zeros
pit_accu_amt_y2 has 21143 (90.2%) zeros Zeros
pit_accu_amt_y3 has 20889 (89.1%) zeros Zeros
pit_cons_amt_m3 has 23411 (99.9%) zeros Zeros
pit_cons_amt_m6 has 23262 (99.3%) zeros Zeros
pit_cons_amt_y1 has 23146 (98.8%) zeros Zeros
pit_cons_amt_y2 has 22569 (96.3%) zeros Zeros
pit_cons_amt_y3 has 22497 (96.0%) zeros Zeros
pit_avg_accu_amt_m3 has 23323 (99.5%) zeros Zeros
pit_avg_accu_amt_m6 has 22895 (97.7%) zeros Zeros
pit_avg_accu_amt_y1 has 22421 (95.7%) zeros Zeros
pit_avg_accu_amt_y2 has 21531 (91.9%) zeros Zeros
pit_avg_accu_amt_y3 has 21346 (91.1%) zeros Zeros
pit_avg_cons_amt_m3 has 23411 (99.9%) zeros Zeros
pit_avg_cons_amt_m6 has 23262 (99.3%) zeros Zeros
pit_avg_cons_amt_y1 has 23146 (98.8%) zeros Zeros
pit_avg_cons_amt_y2 has 22569 (96.3%) zeros Zeros
pit_avg_cons_amt_y3 has 22497 (96.0%) zeros Zeros
pit_cons_cnt_m6 has 23262 (99.3%) zeros Zeros
pit_cons_cnt_y1 has 23146 (98.8%) zeros Zeros
pit_cons_cnt_y2 has 22569 (96.3%) zeros Zeros
pit_cons_cnt_y3 has 22497 (96.0%) zeros Zeros
pit_add_air_amt_m3 has 23339 (99.6%) zeros Zeros
pit_add_air_amt_m6 has 22901 (97.7%) zeros Zeros
pit_add_air_amt_y1 has 22427 (95.7%) zeros Zeros
pit_add_air_amt_y2 has 21538 (91.9%) zeros Zeros
pit_add_air_amt_y3 has 21354 (91.1%) zeros Zeros
pit_add_non_amt_m3 has 23414 (99.9%) zeros Zeros
pit_add_non_amt_m6 has 23352 (99.7%) zeros Zeros
pit_add_non_amt_y1 has 23308 (99.5%) zeros Zeros
pit_add_non_amt_y2 has 23186 (99.0%) zeros Zeros
pit_add_non_amt_y3 has 22706 (96.9%) zeros Zeros
pit_add_buy_amt_y2 has 23424 (> 99.9%) zeros Zeros
pit_add_buy_amt_y3 has 23422 (> 99.9%) zeros Zeros
pit_des_upg_amt_m6 has 23403 (99.9%) zeros Zeros
pit_des_upg_amt_y1 has 23388 (99.8%) zeros Zeros
pit_des_upg_amt_y2 has 23369 (99.7%) zeros Zeros
pit_des_upg_amt_y3 has 23364 (99.7%) zeros Zeros
pit_des_mall_amt_m6 has 23411 (99.9%) zeros Zeros
pit_des_mall_amt_y1 has 23392 (99.8%) zeros Zeros
pit_des_mall_amt_y2 has 23343 (99.6%) zeros Zeros
pit_des_mall_amt_y3 has 23324 (99.5%) zeros Zeros
pit_des_out_amt_m3 has 23416 (99.9%) zeros Zeros
pit_des_out_amt_m6 has 23410 (99.9%) zeros Zeros
pit_des_out_amt_y1 has 23382 (99.8%) zeros Zeros
pit_des_out_amt_y2 has 22834 (97.4%) zeros Zeros
pit_des_out_amt_y3 has 22759 (97.1%) zeros Zeros
pit_add_air_cnt_m6 has 22901 (97.7%) zeros Zeros
pit_add_air_cnt_y1 has 22427 (95.7%) zeros Zeros
pit_add_air_cnt_y2 has 21538 (91.9%) zeros Zeros
pit_add_air_cnt_y3 has 21354 (91.1%) zeros Zeros
pit_add_non_cnt_m6 has 23340 (99.6%) zeros Zeros
pit_add_non_cnt_y1 has 23297 (99.4%) zeros Zeros
pit_add_non_cnt_y2 has 23193 (99.0%) zeros Zeros
pit_add_non_cnt_y3 has 22841 (97.5%) zeros Zeros
pit_des_upg_cnt_y2 has 23369 (99.7%) zeros Zeros
pit_des_upg_cnt_y3 has 23364 (99.7%) zeros Zeros
pit_des_mall_cnt_y1 has 23377 (99.8%) zeros Zeros
pit_des_mall_cnt_y2 has 23320 (99.5%) zeros Zeros
pit_des_mall_cnt_y3 has 23299 (99.4%) zeros Zeros
pit_des_out_cnt_y2 has 22960 (98.0%) zeros Zeros
pit_des_out_cnt_y3 has 22899 (97.7%) zeros Zeros
pit_avg_amt_m3 has 23307 (99.5%) zeros Zeros
pit_avg_amt_m6 has 22852 (97.5%) zeros Zeros
pit_avg_amt_y1 has 22239 (94.9%) zeros Zeros
pit_avg_amt_y2 has 21147 (90.2%) zeros Zeros
pit_avg_amt_y3 has 20894 (89.2%) zeros Zeros
pit_avg_interval_m3 has 23401 (99.9%) zeros Zeros
pit_avg_interval_m6 has 23073 (98.5%) zeros Zeros
pit_avg_interval_y1 has 22646 (96.6%) zeros Zeros
pit_avg_interval_y2 has 21716 (92.7%) zeros Zeros
pit_avg_interval_y3 has 21592 (92.1%) zeros Zeros
pit_ech_avg_amt_m3 has 23414 (99.9%) zeros Zeros
pit_ech_avg_amt_m6 has 23321 (99.5%) zeros Zeros
pit_ech_avg_amt_y1 has 23227 (99.1%) zeros Zeros
pit_ech_avg_amt_y2 has 23121 (98.7%) zeros Zeros
pit_ech_avg_amt_y3 has 23087 (98.5%) zeros Zeros
pit_out_avg_amt_m3 has 23426 (> 99.9%) zeros Zeros
pit_out_avg_amt_m6 has 23422 (> 99.9%) zeros Zeros
pit_out_avg_amt_y1 has 23398 (99.9%) zeros Zeros
pit_out_avg_amt_y2 has 22960 (98.0%) zeros Zeros
pit_out_avg_amt_y3 has 22899 (97.7%) zeros Zeros
pit_income_cnt_m6 has 22841 (97.5%) zeros Zeros
pit_income_cnt_y1 has 22229 (94.9%) zeros Zeros
pit_income_cnt_y2 has 21143 (90.2%) zeros Zeros
pit_income_cnt_y3 has 20889 (89.1%) zeros Zeros
pit_pay_cnt_m6 has 23311 (99.5%) zeros Zeros
pit_pay_cnt_y1 has 23199 (99.0%) zeros Zeros
pit_pay_cnt_y2 has 22733 (97.0%) zeros Zeros
pit_pay_cnt_y3 has 22667 (96.7%) zeros Zeros
pit_income_avg_amt_m3 has 23323 (99.5%) zeros Zeros
pit_income_avg_amt_m6 has 22895 (97.7%) zeros Zeros
pit_income_avg_amt_y1 has 22421 (95.7%) zeros Zeros
pit_income_avg_amt_y2 has 21531 (91.9%) zeros Zeros
pit_income_avg_amt_y3 has 21346 (91.1%) zeros Zeros
pit_pay_avg_amt_m3 has 23411 (99.9%) zeros Zeros
pit_pay_avg_amt_m6 has 23262 (99.3%) zeros Zeros
pit_pay_avg_amt_y1 has 23146 (98.8%) zeros Zeros
pit_pay_avg_amt_y2 has 22569 (96.3%) zeros Zeros
pit_pay_avg_amt_y3 has 22497 (96.0%) zeros Zeros

Reproduction

Analysis started2021-01-21 15:26:45.705565
Analysis finished2021-01-21 15:26:56.071853
Duration10.37 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

pax_name
Categorical

HIGH CARDINALITY

Distinct20972
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
1c86fb42ab58cb2df206bae2b6ed15a1
 
33
8e2fb4de629808f9429cb279c85d7efc
 
15
b592ca6e8d0518ddab5eeb89f5a0449f
 
14
646fc2fcc29979f51696a66049db024b
 
10
d527ea7035d967f33cd32046db343813
 
10
Other values (20967)
23350 
ValueCountFrequency (%) 
1c86fb42ab58cb2df206bae2b6ed15a1330.1%
 
8e2fb4de629808f9429cb279c85d7efc150.1%
 
b592ca6e8d0518ddab5eeb89f5a0449f140.1%
 
646fc2fcc29979f51696a66049db024b10< 0.1%
 
d527ea7035d967f33cd32046db34381310< 0.1%
 
d4ab2ef44db402186d29d15fb438cbbf10< 0.1%
 
bf0b48b96aad1ec7f6f1a5c043d18f3b9< 0.1%
 
a1f1c4cf158e388bbc4648bf7917b3fb9< 0.1%
 
9da882abb58f5bf3b06f5ad94a7801f38< 0.1%
 
e2461c4a89cc8478f46b8ae20d6d3b228< 0.1%
 
Other values (20962)2330699.5%
 
2021-01-21T23:26:56.211480image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique19244 ?
Unique (%)82.1%

pax_passport
Categorical

HIGH CARDINALITY

Distinct21075
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
306536af81b052feefee3ad9cb168da8
 
30
b19ea5fe19a2a9551b65f09a3b8e8a70
 
15
18a6a516c905d041ca3545d9a43d1d14
 
14
1ccd17e3c86face6f81bc2efdfc33831
 
12
21c328427fa457a489bb520fb7c12b81
 
10
Other values (21070)
23351 
ValueCountFrequency (%) 
306536af81b052feefee3ad9cb168da8300.1%
 
b19ea5fe19a2a9551b65f09a3b8e8a70150.1%
 
18a6a516c905d041ca3545d9a43d1d14140.1%
 
1ccd17e3c86face6f81bc2efdfc33831120.1%
 
21c328427fa457a489bb520fb7c12b8110< 0.1%
 
717635ba93bd3823db106f96e9d033c39< 0.1%
 
96cfa9c2e5984debcf67f8bc2a8333da9< 0.1%
 
70e00017a5076f46784e2e24a103d4419< 0.1%
 
0f77d49d7f4eb5205c598b91b995e69a8< 0.1%
 
bd71185771038d20ca9afe42949b7f198< 0.1%
 
Other values (21065)2330899.5%
 
2021-01-21T23:26:56.380029image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique19376 ?
Unique (%)82.7%

seg_route_from
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
PVG
23432 
ValueCountFrequency (%) 
PVG23432100.0%
 
2021-01-21T23:26:56.484750image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

seg_route_to
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
LAX
7910 
JFK
7894 
SYD
7628 
ValueCountFrequency (%) 
LAX791033.8%
 
JFK789433.7%
 
SYD762832.6%
 
2021-01-21T23:26:56.573512image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

seg_flight
Categorical

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
AB1007
4902 
AB1006
4568 
AB1008
4228 
AB1010
3326 
AB1009
2968 
Other values (12)
3440 
ValueCountFrequency (%) 
AB1007490220.9%
 
AB1006456819.5%
 
AB1008422818.0%
 
AB1010332614.2%
 
AB1009296812.7%
 
AB1013256510.9%
 
AB10156862.9%
 
AB10141600.7%
 
AB1005140.1%
 
AB10005< 0.1%
 
Other values (7)10< 0.1%
 
2021-01-21T23:26:56.665267image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique5 ?
Unique (%)< 0.1%

seg_cabin
Categorical

Distinct5
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size183.1 KiB
Y
20363 
J
2962 
W
 
90
F
 
12
C
 
4
ValueCountFrequency (%) 
Y2036386.9%
 
J296212.6%
 
W900.4%
 
F120.1%
 
C4< 0.1%
 
(Missing)1< 0.1%
 
2021-01-21T23:26:56.765002image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

seg_dep_time
Categorical

HIGH CARDINALITY

Distinct5655
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
2018/12/24 0:05
 
46
2018/12/23 20:20
 
34
2019/12/31 0:05
 
30
2019/1/12 20:20
 
30
2019/1/2 20:20
 
29
Other values (5650)
23263 
ValueCountFrequency (%) 
2018/12/24 0:05460.2%
 
2018/12/23 20:20340.1%
 
2019/12/31 0:05300.1%
 
2019/1/12 20:20300.1%
 
2019/1/2 20:20290.1%
 
2019/4/24 20:20290.1%
 
2018/12/29 20:20280.1%
 
2019/3/24 13:20280.1%
 
2018/4/11 21:00280.1%
 
2018/12/22 19:30260.1%
 
Other values (5645)2312498.7%
 
2021-01-21T23:26:56.893657image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1315 ?
Unique (%)5.6%

pax_fcny
Real number (ℝ≥0)

Distinct3153
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22285.2966
Minimum0
Maximum4264300
Zeros34
Zeros (%)0.1%
Memory size183.1 KiB
2021-01-21T23:26:57.008350image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile150
Q1317.75
median568
Q31196
95-th percentile63769
Maximum4264300
Range4264300
Interquartile range (IQR)878.25

Descriptive statistics

Standard deviation117848.6986
Coefficient of variation (CV)5.28818174
Kurtosis237.1807462
Mean22285.2966
Median Absolute Deviation (MAD)312
Skewness11.36753735
Sum522189069.9
Variance1.388831575e+10
MonotocityNot monotonic
2021-01-21T23:26:57.117059image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2003911.7%
 
3003461.5%
 
1502521.1%
 
2202371.0%
 
1602210.9%
 
2501820.8%
 
2401610.7%
 
2101600.7%
 
2301490.6%
 
2801350.6%
 
Other values (3143)2119890.5%
 
ValueCountFrequency (%) 
0340.1%
 
0.05160.1%
 
0.11< 0.1%
 
141< 0.1%
 
161< 0.1%
 
ValueCountFrequency (%) 
42643001< 0.1%
 
35446001< 0.1%
 
34651001< 0.1%
 
31982002< 0.1%
 
28000002< 0.1%
 

pax_tax
Real number (ℝ≥0)

Distinct5409
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15419.39163
Minimum0
Maximum636700
Zeros90
Zeros (%)0.4%
Memory size183.1 KiB
2021-01-21T23:26:57.232750image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile150.86
Q1242.525
median299.36
Q3454.06
95-th percentile30730
Maximum636700
Range636700
Interquartile range (IQR)211.535

Descriptive statistics

Standard deviation69443.02403
Coefficient of variation (CV)4.503616335
Kurtosis20.07018201
Mean15419.39163
Median Absolute Deviation (MAD)127.9
Skewness4.65651811
Sum361307184.7
Variance4822333586
MonotocityNot monotonic
2021-01-21T23:26:57.347444image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
454.162561.1%
 
455.611790.8%
 
454.431740.7%
 
454.061640.7%
 
454.261530.7%
 
455.511490.6%
 
299.061440.6%
 
280.461290.6%
 
455.431210.5%
 
152.861180.5%
 
Other values (5399)2184593.2%
 
ValueCountFrequency (%) 
0900.4%
 
0.05160.1%
 
0.11< 0.1%
 
5.61< 0.1%
 
10.63< 0.1%
 
ValueCountFrequency (%) 
6367001< 0.1%
 
4949001< 0.1%
 
4849001< 0.1%
 
3993001< 0.1%
 
3975001< 0.1%
 

emd_lable
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
16230 
1
7202 
ValueCountFrequency (%) 
01623069.3%
 
1720230.7%
 

emd_lable2
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21957 
1
 
1475
ValueCountFrequency (%) 
02195793.7%
 
114756.3%
 

gender
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
18629 
M
2432 
F
2313 
U
 
58
ValueCountFrequency (%) 
01862979.5%
 
M243210.4%
 
F23139.9%
 
U580.2%
 
2021-01-21T23:26:57.461139image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

age
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19464 
21-30
 
1226
31-40
 
923
51-60
 
604
41-50
 
550
Other values (3)
 
665
ValueCountFrequency (%) 
01946483.1%
 
21-3012265.2%
 
31-409233.9%
 
51-606042.6%
 
41-505502.3%
 
60+5232.2%
 
11月20日1080.5%
 
0-10340.1%
 
2021-01-21T23:26:57.560873image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

birth_date
Categorical

HIGH CARDINALITY

Distinct2915
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19833 
1966/4/22
 
15
1967/10/30
 
14
1959/9/14
 
8
1984/5/7
 
6
Other values (2910)
3556 
ValueCountFrequency (%) 
01983384.6%
 
1966/4/22150.1%
 
1967/10/30140.1%
 
1959/9/148< 0.1%
 
1984/5/76< 0.1%
 
1986/4/186< 0.1%
 
1959/4/35< 0.1%
 
1966/11/95< 0.1%
 
1963/9/85< 0.1%
 
1988/9/265< 0.1%
 
Other values (2905)353015.1%
 
2021-01-21T23:26:57.687534image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2407 ?
Unique (%)10.3%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19023 
中国
4290 
美国
 
66
澳大利亚
 
24
中国台湾
 
5
Other values (10)
 
24
ValueCountFrequency (%) 
01902381.2%
 
中国429018.3%
 
美国660.3%
 
澳大利亚240.1%
 
中国台湾5< 0.1%
 
日本5< 0.1%
 
新加坡4< 0.1%
 
泰国3< 0.1%
 
越南3< 0.1%
 
英国3< 0.1%
 
Other values (5)6< 0.1%
 
2021-01-21T23:26:57.809209image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%

nation_name
Categorical

HIGH CARDINALITY

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19887 
美国
 
1577
中国
 
932
澳大利亚
 
399
韩国
 
233
Other values (51)
 
404
ValueCountFrequency (%) 
01988784.9%
 
美国15776.7%
 
中国9324.0%
 
澳大利亚3991.7%
 
韩国2331.0%
 
菲律宾680.3%
 
中国台湾460.2%
 
新加坡410.2%
 
日本300.1%
 
墨西哥290.1%
 
Other values (46)1900.8%
 
2021-01-21T23:26:57.926895image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique19 ?
Unique (%)0.1%

city_name
Categorical

HIGH CARDINALITY

Distinct298
Distinct (%)1.3%
Missing4
Missing (%)< 0.1%
Memory size183.1 KiB
0
22438 
上海市
 
179
上海
 
154
***
 
46
浦东新区
 
19
Other values (293)
 
592
ValueCountFrequency (%) 
02243895.8%
 
上海市1790.8%
 
上海1540.7%
 
***460.2%
 
浦东新区190.1%
 
北京180.1%
 
Sydney170.1%
 
长宁区120.1%
 
悉尼120.1%
 
苏州10< 0.1%
 
Other values (288)5232.2%
 
2021-01-21T23:26:58.060538image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique187 ?
Unique (%)0.8%

province_name
Categorical

HIGH CARDINALITY

Distinct88
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22496 
SH
 
389
JS
 
91
ZJ
 
46
NSW
 
43
Other values (83)
 
367
ValueCountFrequency (%) 
02249696.0%
 
SH3891.7%
 
JS910.4%
 
ZJ460.2%
 
NSW430.2%
 
AH420.2%
 
BJ260.1%
 
SD240.1%
 
***200.1%
 
CA160.1%
 
Other values (78)2391.0%
 
2021-01-21T23:26:58.181215image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique40 ?
Unique (%)0.2%

marital_stat
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22840 
U
 
309
S
 
195
M
 
88
ValueCountFrequency (%) 
02284097.5%
 
U3091.3%
 
S1950.8%
 
M880.4%
 
2021-01-21T23:26:58.285935image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ffp_nbr
Real number (ℝ≥0)

ZEROS

Distinct29
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.191624274e+11
Minimum0
Maximum6.64e+11
Zeros19021
Zeros (%)81.2%
Memory size183.1 KiB
2021-01-21T23:26:58.370708image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.51e+11
Maximum6.64e+11
Range6.64e+11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.476027899e+11
Coefficient of variation (CV)2.077859567
Kurtosis0.5668010263
Mean1.191624274e+11
Median Absolute Deviation (MAD)0
Skewness1.599684137
Sum2.792214e+15
Variance6.130714156e+22
MonotocityNot monotonic
2021-01-21T23:26:58.470442image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
01902181.2%
 
6.13e+116082.6%
 
6.43e+115932.5%
 
6.23e+115082.2%
 
6.33e+115062.2%
 
6.53e+114922.1%
 
6.63e+114862.1%
 
6.03e+114702.0%
 
6.6e+11900.4%
 
6.2e+11580.2%
 
Other values (19)6002.6%
 
ValueCountFrequency (%) 
01902181.2%
 
6e+11360.2%
 
6.01e+11180.1%
 
6.03e+114702.0%
 
6.04e+11400.2%
 
ValueCountFrequency (%) 
6.64e+11330.1%
 
6.63e+114862.1%
 
6.61e+11190.1%
 
6.6e+11900.4%
 
6.54e+11400.2%
 

member_level
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19833 
STD
3263 
SILHL
 
145
GOLHL
 
75
PLTSL
 
73
Other values (2)
 
43
ValueCountFrequency (%) 
01983384.6%
 
STD326313.9%
 
SILHL1450.6%
 
GOLHL750.3%
 
PLTSL730.3%
 
CHD390.2%
 
SILSL4< 0.1%
 
2021-01-21T23:26:58.579151image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

often_city
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

enroll_chnl
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19833 
网站
3052 
销售单位
 
175
手机平台
 
136
其它
 
118
Other values (3)
 
118
ValueCountFrequency (%) 
01983384.6%
 
网站305213.0%
 
销售单位1750.7%
 
手机平台1360.6%
 
其它1180.5%
 
电话660.3%
 
移动客舱510.2%
 
联名卡1< 0.1%
 
2021-01-21T23:26:58.680880image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

cabin_hf_cnt_m3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23415 
2
 
10
1
 
7
ValueCountFrequency (%) 
02341599.9%
 
210< 0.1%
 
17< 0.1%
 
2021-01-21T23:26:58.780614image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

cabin_hf_cnt_m6
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23408 
1
 
13
2
 
11
ValueCountFrequency (%) 
02340899.9%
 
1130.1%
 
211< 0.1%
 
2021-01-21T23:26:58.874362image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

cabin_hf_cnt_y1
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23393 
1
 
24
2
 
13
3
 
2
ValueCountFrequency (%) 
02339399.8%
 
1240.1%
 
2130.1%
 
32< 0.1%
 
2021-01-21T23:26:58.961130image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

cabin_hf_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01182144076
Minimum0
Maximum21
Zeros23306
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:26:59.035930image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2621081316
Coefficient of variation (CV)22.17226621
Kurtosis3721.816325
Mean0.01182144076
Median Absolute Deviation (MAD)0
Skewness52.35980137
Sum277
Variance0.06870067265
MonotocityNot monotonic
2021-01-21T23:26:59.115717image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02330699.5%
 
1690.3%
 
2330.1%
 
49< 0.1%
 
37< 0.1%
 
92< 0.1%
 
62< 0.1%
 
212< 0.1%
 
81< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
02330699.5%
 
1690.3%
 
2330.1%
 
37< 0.1%
 
49< 0.1%
 
ValueCountFrequency (%) 
212< 0.1%
 
92< 0.1%
 
81< 0.1%
 
62< 0.1%
 
51< 0.1%
 

cabin_hf_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01967395015
Minimum0
Maximum28
Zeros23261
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:26:59.189521image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.39898351
Coefficient of variation (CV)20.27978657
Kurtosis2656.587504
Mean0.01967395015
Median Absolute Deviation (MAD)0
Skewness45.0109265
Sum461
Variance0.1591878413
MonotocityNot monotonic
2021-01-21T23:26:59.262325image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
02326199.3%
 
1870.4%
 
2420.2%
 
5140.1%
 
49< 0.1%
 
36< 0.1%
 
65< 0.1%
 
282< 0.1%
 
151< 0.1%
 
111< 0.1%
 
Other values (4)4< 0.1%
 
ValueCountFrequency (%) 
02326199.3%
 
1870.4%
 
2420.2%
 
36< 0.1%
 
49< 0.1%
 
ValueCountFrequency (%) 
282< 0.1%
 
211< 0.1%
 
161< 0.1%
 
151< 0.1%
 
111< 0.1%
 

cabin_f_cnt_m3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23430 
2
 
1
1
 
1
ValueCountFrequency (%) 
023430> 99.9%
 
21< 0.1%
 
11< 0.1%
 
2021-01-21T23:26:59.350091image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%

cabin_f_cnt_m6
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23421 
1
 
7
2
 
4
ValueCountFrequency (%) 
023421> 99.9%
 
17< 0.1%
 
24< 0.1%
 
2021-01-21T23:26:59.441845image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

cabin_f_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005035848412
Minimum0
Maximum18
Zeros23376
Zeros (%)99.8%
Memory size183.1 KiB
2021-01-21T23:26:59.515647image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1545140794
Coefficient of variation (CV)30.68282974
Kurtosis8017.034725
Mean0.005035848412
Median Absolute Deviation (MAD)0
Skewness75.27067417
Sum118
Variance0.02387460074
MonotocityNot monotonic
2021-01-21T23:26:59.588453image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
02337699.8%
 
1270.1%
 
2170.1%
 
46< 0.1%
 
35< 0.1%
 
181< 0.1%
 
ValueCountFrequency (%) 
02337699.8%
 
1270.1%
 
2170.1%
 
35< 0.1%
 
46< 0.1%
 
ValueCountFrequency (%) 
181< 0.1%
 
46< 0.1%
 
35< 0.1%
 
2170.1%
 
1270.1%
 

cabin_f_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02150904746
Minimum0
Maximum28
Zeros23260
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:26:59.666246image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4013952577
Coefficient of variation (CV)18.6616938
Kurtosis1877.174421
Mean0.02150904746
Median Absolute Deviation (MAD)0
Skewness37.11331926
Sum504
Variance0.1611181529
MonotocityNot monotonic
2021-01-21T23:26:59.746033image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
02326099.3%
 
1730.3%
 
2450.2%
 
3180.1%
 
4170.1%
 
115< 0.1%
 
93< 0.1%
 
83< 0.1%
 
62< 0.1%
 
151< 0.1%
 
Other values (5)5< 0.1%
 
ValueCountFrequency (%) 
02326099.3%
 
1730.3%
 
2450.2%
 
3180.1%
 
4170.1%
 
ValueCountFrequency (%) 
281< 0.1%
 
231< 0.1%
 
161< 0.1%
 
151< 0.1%
 
121< 0.1%
 

cabin_f_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct19
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02889211335
Minimum0
Maximum56
Zeros23219
Zeros (%)99.1%
Memory size183.1 KiB
2021-01-21T23:26:59.831803image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum56
Range56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5831281269
Coefficient of variation (CV)20.18295165
Kurtosis4077.681248
Mean0.02889211335
Median Absolute Deviation (MAD)0
Skewness52.59463713
Sum677
Variance0.3400384123
MonotocityNot monotonic
2021-01-21T23:26:59.912587image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
02321999.1%
 
1990.4%
 
2540.2%
 
4180.1%
 
3140.1%
 
66< 0.1%
 
73< 0.1%
 
123< 0.1%
 
93< 0.1%
 
113< 0.1%
 
Other values (9)10< 0.1%
 
ValueCountFrequency (%) 
02321999.1%
 
1990.4%
 
2540.2%
 
3140.1%
 
4180.1%
 
ValueCountFrequency (%) 
561< 0.1%
 
241< 0.1%
 
231< 0.1%
 
201< 0.1%
 
181< 0.1%
 

cabin_hy_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01455274838
Minimum0
Maximum9
Zeros23193
Zeros (%)99.0%
Memory size183.1 KiB
2021-01-21T23:26:59.997360image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1673281173
Coefficient of variation (CV)11.49804236
Kurtosis553.2551633
Mean0.01455274838
Median Absolute Deviation (MAD)0
Skewness18.36926075
Sum341
Variance0.02799869885
MonotocityNot monotonic
2021-01-21T23:27:00.068171image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02319399.0%
 
11650.7%
 
2600.3%
 
46< 0.1%
 
36< 0.1%
 
91< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
02319399.0%
 
11650.7%
 
2600.3%
 
36< 0.1%
 
46< 0.1%
 
ValueCountFrequency (%) 
91< 0.1%
 
51< 0.1%
 
46< 0.1%
 
36< 0.1%
 
2600.3%
 

cabin_hy_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03465346535
Minimum0
Maximum12
Zeros22966
Zeros (%)98.0%
Memory size183.1 KiB
2021-01-21T23:27:00.140976image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3041727771
Coefficient of variation (CV)8.777557282
Kurtosis331.1931175
Mean0.03465346535
Median Absolute Deviation (MAD)0
Skewness14.61087497
Sum812
Variance0.09252107832
MonotocityNot monotonic
2021-01-21T23:27:00.224752image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02296698.0%
 
12771.2%
 
21210.5%
 
4420.2%
 
3130.1%
 
57< 0.1%
 
73< 0.1%
 
122< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
02296698.0%
 
12771.2%
 
21210.5%
 
3130.1%
 
4420.2%
 
ValueCountFrequency (%) 
122< 0.1%
 
73< 0.1%
 
61< 0.1%
 
57< 0.1%
 
4420.2%
 

cabin_hy_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09747354046
Minimum0
Maximum19
Zeros22457
Zeros (%)95.8%
Memory size183.1 KiB
2021-01-21T23:27:00.305536image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.713292536
Coefficient of variation (CV)7.317806788
Kurtosis250.734243
Mean0.09747354046
Median Absolute Deviation (MAD)0
Skewness14.01651975
Sum2284
Variance0.5087862419
MonotocityNot monotonic
2021-01-21T23:27:00.393302image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
02245795.8%
 
14401.9%
 
23601.5%
 
3540.2%
 
4340.1%
 
13320.1%
 
5270.1%
 
67< 0.1%
 
95< 0.1%
 
104< 0.1%
 
Other values (5)120.1%
 
ValueCountFrequency (%) 
02245795.8%
 
14401.9%
 
23601.5%
 
3540.2%
 
4340.1%
 
ValueCountFrequency (%) 
193< 0.1%
 
171< 0.1%
 
13320.1%
 
123< 0.1%
 
104< 0.1%
 

cabin_hy_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2653636053
Minimum0
Maximum58
Zeros20944
Zeros (%)89.4%
Memory size183.1 KiB
2021-01-21T23:27:00.487051image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum58
Range58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.262249004
Coefficient of variation (CV)4.756677175
Kurtosis386.8064787
Mean0.2653636053
Median Absolute Deviation (MAD)0
Skewness14.61996064
Sum6218
Variance1.593272549
MonotocityNot monotonic
2021-01-21T23:27:00.581798image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
02094489.4%
 
210554.5%
 
18803.8%
 
31940.8%
 
41440.6%
 
5630.3%
 
13360.2%
 
6360.2%
 
8150.1%
 
7140.1%
 
Other values (18)510.2%
 
ValueCountFrequency (%) 
02094489.4%
 
18803.8%
 
210554.5%
 
31940.8%
 
41440.6%
 
ValueCountFrequency (%) 
581< 0.1%
 
401< 0.1%
 
351< 0.1%
 
332< 0.1%
 
312< 0.1%
 

cabin_hy_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3875469443
Minimum0
Maximum90
Zeros19952
Zeros (%)85.1%
Memory size183.1 KiB
2021-01-21T23:27:00.685520image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum90
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.656154772
Coefficient of variation (CV)4.273430086
Kurtosis559.246903
Mean0.3875469443
Median Absolute Deviation (MAD)0
Skewness16.80603166
Sum9081
Variance2.742848628
MonotocityNot monotonic
2021-01-21T23:27:00.778273image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
01995285.1%
 
213925.9%
 
112315.3%
 
32841.2%
 
42321.0%
 
51010.4%
 
6730.3%
 
13430.2%
 
7250.1%
 
8220.1%
 
Other values (23)770.3%
 
ValueCountFrequency (%) 
01995285.1%
 
112315.3%
 
213925.9%
 
32841.2%
 
42321.0%
 
ValueCountFrequency (%) 
901< 0.1%
 
521< 0.1%
 
471< 0.1%
 
461< 0.1%
 
402< 0.1%
 

cabin_y_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04579207921
Minimum0
Maximum10
Zeros22797
Zeros (%)97.3%
Memory size183.1 KiB
2021-01-21T23:27:00.862049image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3350204547
Coefficient of variation (CV)7.316122363
Kurtosis186.9869214
Mean0.04579207921
Median Absolute Deviation (MAD)0
Skewness11.40937393
Sum1073
Variance0.1122387051
MonotocityNot monotonic
2021-01-21T23:27:00.942834image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02279797.3%
 
13771.6%
 
21640.7%
 
3500.2%
 
4290.1%
 
55< 0.1%
 
84< 0.1%
 
72< 0.1%
 
62< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
02279797.3%
 
13771.6%
 
21640.7%
 
3500.2%
 
4290.1%
 
ValueCountFrequency (%) 
101< 0.1%
 
91< 0.1%
 
84< 0.1%
 
72< 0.1%
 
62< 0.1%
 

cabin_y_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09051724138
Minimum0
Maximum14
Zeros22389
Zeros (%)95.5%
Memory size183.1 KiB
2021-01-21T23:27:01.024614image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5360549519
Coefficient of variation (CV)5.922130897
Kurtosis142.2978354
Mean0.09051724138
Median Absolute Deviation (MAD)0
Skewness9.843636809
Sum2121
Variance0.2873549115
MonotocityNot monotonic
2021-01-21T23:27:01.104402image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
02238995.5%
 
14842.1%
 
23431.5%
 
3980.4%
 
4460.2%
 
5310.1%
 
6170.1%
 
78< 0.1%
 
86< 0.1%
 
123< 0.1%
 
Other values (4)7< 0.1%
 
ValueCountFrequency (%) 
02238995.5%
 
14842.1%
 
23431.5%
 
3980.4%
 
4460.2%
 
ValueCountFrequency (%) 
142< 0.1%
 
123< 0.1%
 
111< 0.1%
 
101< 0.1%
 
93< 0.1%
 

cabin_y_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.264339365
Minimum0
Maximum34
Zeros21226
Zeros (%)90.6%
Memory size183.1 KiB
2021-01-21T23:27:01.202140image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.14864805
Coefficient of variation (CV)4.345353746
Kurtosis127.0192875
Mean0.264339365
Median Absolute Deviation (MAD)0
Skewness8.742748779
Sum6194
Variance1.319392342
MonotocityNot monotonic
2021-01-21T23:27:01.296886image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
02122690.6%
 
27803.3%
 
16512.8%
 
42661.1%
 
32291.0%
 
6730.3%
 
5730.3%
 
7320.1%
 
10230.1%
 
11180.1%
 
Other values (15)610.3%
 
ValueCountFrequency (%) 
02122690.6%
 
16512.8%
 
27803.3%
 
32291.0%
 
42661.1%
 
ValueCountFrequency (%) 
341< 0.1%
 
271< 0.1%
 
242< 0.1%
 
231< 0.1%
 
222< 0.1%
 

cabin_y_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct42
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9742232844
Minimum0
Maximum63
Zeros17469
Zeros (%)74.6%
Memory size183.1 KiB
2021-01-21T23:27:01.406594image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum63
Range63
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.59251121
Coefficient of variation (CV)2.661105777
Kurtosis92.49497596
Mean0.9742232844
Median Absolute Deviation (MAD)0
Skewness7.204334897
Sum22828
Variance6.721114373
MonotocityNot monotonic
2021-01-21T23:27:01.521287image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%) 
01746974.6%
 
219148.2%
 
417207.3%
 
16902.9%
 
36102.6%
 
62591.1%
 
52421.0%
 
71190.5%
 
8820.3%
 
11420.2%
 
Other values (32)2851.2%
 
ValueCountFrequency (%) 
01746974.6%
 
16902.9%
 
219148.2%
 
36102.6%
 
417207.3%
 
ValueCountFrequency (%) 
631< 0.1%
 
581< 0.1%
 
551< 0.1%
 
531< 0.1%
 
511< 0.1%
 

cabin_y_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.365184363
Minimum0
Maximum93
Zeros16096
Zeros (%)68.7%
Memory size183.1 KiB
2021-01-21T23:27:01.643959image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum93
Range93
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.558327208
Coefficient of variation (CV)2.606481076
Kurtosis113.3782422
Mean1.365184363
Median Absolute Deviation (MAD)0
Skewness8.270968074
Sum31989
Variance12.66169252
MonotocityNot monotonic
2021-01-21T23:27:01.765633image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01609668.7%
 
421539.2%
 
220788.9%
 
38133.5%
 
16672.8%
 
63851.6%
 
53801.6%
 
71800.8%
 
81450.6%
 
9930.4%
 
Other values (40)4421.9%
 
ValueCountFrequency (%) 
01609668.7%
 
16672.8%
 
220788.9%
 
38133.5%
 
421539.2%
 
ValueCountFrequency (%) 
931< 0.1%
 
871< 0.1%
 
701< 0.1%
 
681< 0.1%
 
651< 0.1%
 

cabin_c_cnt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02091157392
Minimum0
Maximum15
Zeros23257
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:27:01.866364image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3100023562
Coefficient of variation (CV)14.8244392
Kurtosis556.1159983
Mean0.02091157392
Median Absolute Deviation (MAD)0
Skewness20.76038058
Sum490
Variance0.09610146083
MonotocityNot monotonic
2021-01-21T23:27:01.938174image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02325799.3%
 
1740.3%
 
6330.1%
 
2300.1%
 
3210.1%
 
4120.1%
 
82< 0.1%
 
151< 0.1%
 
111< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
02325799.3%
 
1740.3%
 
2300.1%
 
3210.1%
 
4120.1%
 
ValueCountFrequency (%) 
151< 0.1%
 
111< 0.1%
 
82< 0.1%
 
6330.1%
 
51< 0.1%
 

cabin_c_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0402867873
Minimum0
Maximum19
Zeros23133
Zeros (%)98.7%
Memory size183.1 KiB
2021-01-21T23:27:02.021950image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.499326048
Coefficient of variation (CV)12.39428809
Kurtosis483.787742
Mean0.0402867873
Median Absolute Deviation (MAD)0
Skewness19.43171814
Sum944
Variance0.2493265022
MonotocityNot monotonic
2021-01-21T23:27:02.101735image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
02313398.7%
 
11100.5%
 
2760.3%
 
3350.1%
 
8340.1%
 
4210.1%
 
67< 0.1%
 
54< 0.1%
 
93< 0.1%
 
163< 0.1%
 
Other values (6)6< 0.1%
 
ValueCountFrequency (%) 
02313398.7%
 
11100.5%
 
2760.3%
 
3350.1%
 
4210.1%
 
ValueCountFrequency (%) 
191< 0.1%
 
181< 0.1%
 
163< 0.1%
 
151< 0.1%
 
141< 0.1%
 

cabin_c_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1056674633
Minimum0
Maximum46
Zeros22872
Zeros (%)97.6%
Memory size183.1 KiB
2021-01-21T23:27:02.191495image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.114815537
Coefficient of variation (CV)10.55022523
Kurtosis390.6884417
Mean0.1056674633
Median Absolute Deviation (MAD)0
Skewness17.59877846
Sum2476
Variance1.242813681
MonotocityNot monotonic
2021-01-21T23:27:02.287239image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
02287297.6%
 
11870.8%
 
21150.5%
 
4690.3%
 
3620.3%
 
5220.1%
 
21150.1%
 
20140.1%
 
6130.1%
 
1211< 0.1%
 
Other values (14)520.2%
 
ValueCountFrequency (%) 
02287297.6%
 
11870.8%
 
21150.5%
 
3620.3%
 
4690.3%
 
ValueCountFrequency (%) 
461< 0.1%
 
292< 0.1%
 
272< 0.1%
 
261< 0.1%
 
251< 0.1%
 

cabin_c_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2421901673
Minimum0
Maximum57
Zeros22326
Zeros (%)95.3%
Memory size183.1 KiB
2021-01-21T23:27:02.382983image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.853641084
Coefficient of variation (CV)7.653659537
Kurtosis227.2489408
Mean0.2421901673
Median Absolute Deviation (MAD)0
Skewness13.55530048
Sum5675
Variance3.435985267
MonotocityNot monotonic
2021-01-21T23:27:02.479725image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
02232695.3%
 
22741.2%
 
12471.1%
 
41540.7%
 
31230.5%
 
5550.2%
 
6400.2%
 
7340.1%
 
8340.1%
 
10200.1%
 
Other values (25)1250.5%
 
ValueCountFrequency (%) 
02232695.3%
 
12471.1%
 
22741.2%
 
31230.5%
 
41540.7%
 
ValueCountFrequency (%) 
571< 0.1%
 
412< 0.1%
 
401< 0.1%
 
391< 0.1%
 
381< 0.1%
 

cabin_c_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.326092523
Minimum0
Maximum68
Zeros22105
Zeros (%)94.3%
Memory size183.1 KiB
2021-01-21T23:27:02.590428image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum68
Range68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.302905286
Coefficient of variation (CV)7.062122321
Kurtosis211.3394594
Mean0.326092523
Median Absolute Deviation (MAD)0
Skewness12.95744509
Sum7641
Variance5.303372755
MonotocityNot monotonic
2021-01-21T23:27:02.698140image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
02210594.3%
 
22751.2%
 
12671.1%
 
42251.0%
 
31410.6%
 
5700.3%
 
6540.2%
 
8490.2%
 
7340.1%
 
9280.1%
 
Other values (31)1840.8%
 
ValueCountFrequency (%) 
02210594.3%
 
12671.1%
 
22751.2%
 
31410.6%
 
42251.0%
 
ValueCountFrequency (%) 
681< 0.1%
 
511< 0.1%
 
501< 0.1%
 
481< 0.1%
 
444< 0.1%
 

pref_aircraft_m3_1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size183.2 KiB
Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22495 
773
 
226
359
 
159
320
 
70
33H
 
53
Other values (19)
 
429
ValueCountFrequency (%) 
02249596.0%
 
7732261.0%
 
3591590.7%
 
320700.3%
 
33H530.2%
 
73H490.2%
 
325490.2%
 
789490.2%
 
33E480.2%
 
738420.2%
 
Other values (14)1920.8%
 
2021-01-21T23:27:02.816823image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22730 
773
 
203
359
 
141
33H
 
43
325
 
43
Other values (18)
 
272
ValueCountFrequency (%) 
02273097.0%
 
7732030.9%
 
3591410.6%
 
33H430.2%
 
325430.2%
 
789370.2%
 
320360.2%
 
33L330.1%
 
73H240.1%
 
33E230.1%
 
Other values (13)1190.5%
 
2021-01-21T23:27:02.915560image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

pref_aircraft_m3_4
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size183.2 KiB

pref_aircraft_m3_5
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size183.2 KiB
Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21882 
773
 
669
359
 
303
789
 
107
33H
 
79
Other values (20)
 
392
ValueCountFrequency (%) 
02188293.4%
 
7736692.9%
 
3593031.3%
 
7891070.5%
 
33H790.3%
 
320640.3%
 
73H500.2%
 
33L480.2%
 
73E420.2%
 
325370.2%
 
Other values (15)1510.6%
 
2021-01-21T23:27:03.011303image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)< 0.1%
Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21882 
773
 
392
359
 
264
33H
 
113
320
 
112
Other values (21)
 
669
ValueCountFrequency (%) 
02188293.4%
 
7733921.7%
 
3592641.1%
 
33H1130.5%
 
3201120.5%
 
33E810.3%
 
33L800.3%
 
325770.3%
 
73H640.3%
 
789600.3%
 
Other values (16)3071.3%
 
2021-01-21T23:27:03.113031image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct22
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22274 
773
 
350
359
 
236
33H
 
83
320
 
74
Other values (17)
 
415
ValueCountFrequency (%) 
02227495.1%
 
7733501.5%
 
3592361.0%
 
33H830.4%
 
320740.3%
 
325690.3%
 
73H480.2%
 
33E450.2%
 
789380.2%
 
33L350.1%
 
Other values (12)1800.8%
 
2021-01-21T23:27:03.219746image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22457 
773
 
343
359
 
223
320
 
65
33H
 
56
Other values (18)
 
288
ValueCountFrequency (%) 
02245795.8%
 
7733431.5%
 
3592231.0%
 
320650.3%
 
33H560.2%
 
325530.2%
 
789370.2%
 
33E330.1%
 
73E310.1%
 
738250.1%
 
Other values (13)1090.5%
 
2021-01-21T23:27:03.319479image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct22
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22537 
773
 
342
359
 
219
33H
 
54
320
 
47
Other values (17)
 
233
ValueCountFrequency (%) 
02253796.2%
 
7733421.5%
 
3592190.9%
 
33H540.2%
 
320470.2%
 
789370.2%
 
325290.1%
 
33E270.1%
 
33L190.1%
 
73E190.1%
 
Other values (12)1020.4%
 
2021-01-21T23:27:03.419213image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20327 
773
 
1752
359
 
356
33H
 
247
789
 
122
Other values (19)
 
628
ValueCountFrequency (%) 
02032786.7%
 
77317527.5%
 
3593561.5%
 
33H2471.1%
 
7891220.5%
 
33L970.4%
 
320830.4%
 
325730.3%
 
73H670.3%
 
33E630.3%
 
Other values (14)2451.0%
 
2021-01-21T23:27:03.523933image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20327 
773
 
837
33H
 
315
359
 
266
33L
 
221
Other values (23)
 
1466
ValueCountFrequency (%) 
02032786.7%
 
7738373.6%
 
33H3151.3%
 
3592661.1%
 
33L2210.9%
 
3201900.8%
 
73H1860.8%
 
33E1810.8%
 
3251570.7%
 
73E1130.5%
 
Other values (18)6392.7%
 
2021-01-21T23:27:03.639624image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21175 
773
 
718
33H
 
265
359
 
197
33E
 
154
Other values (21)
 
923
ValueCountFrequency (%) 
02117590.4%
 
7737183.1%
 
33H2651.1%
 
3591970.8%
 
33E1540.7%
 
3251360.6%
 
3201330.6%
 
33L1210.5%
 
73H700.3%
 
738670.3%
 
Other values (16)3961.7%
 
2021-01-21T23:27:03.752324image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21711 
773
 
698
359
 
166
33H
 
158
320
 
111
Other values (20)
 
588
ValueCountFrequency (%) 
02171192.7%
 
7736983.0%
 
3591660.7%
 
33H1580.7%
 
3201110.5%
 
33E960.4%
 
325960.4%
 
33L560.2%
 
73E420.2%
 
73H380.2%
 
Other values (15)2601.1%
 
2021-01-21T23:27:03.851059image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)< 0.1%
Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21959 
773
 
688
359
 
160
33H
 
127
33E
 
91
Other values (20)
 
407
ValueCountFrequency (%) 
02195993.7%
 
7736882.9%
 
3591600.7%
 
33H1270.5%
 
33E910.4%
 
325610.3%
 
320470.2%
 
33L470.2%
 
73H420.2%
 
73E280.1%
 
Other values (15)1820.8%
 
2021-01-21T23:27:03.952787image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%
Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15962 
773
5397 
33H
 
919
320
 
185
33E
 
164
Other values (22)
 
805
ValueCountFrequency (%) 
01596268.1%
 
773539723.0%
 
33H9193.9%
 
3201850.8%
 
33E1640.7%
 
3591270.5%
 
73H1240.5%
 
3251060.5%
 
33L900.4%
 
73E690.3%
 
Other values (17)2891.2%
 
2021-01-21T23:27:04.068477image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct29
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15962 
773
1892 
73H
 
811
33H
 
732
325
 
698
Other values (24)
3337 
ValueCountFrequency (%) 
01596268.1%
 
77318928.1%
 
73H8113.5%
 
33H7323.1%
 
3256983.0%
 
33L5482.3%
 
3205262.2%
 
33E5052.2%
 
73E2701.2%
 
73L2170.9%
 
Other values (19)12715.4%
 
2021-01-21T23:27:04.188158image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)< 0.1%
Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
18224 
773
 
1545
33H
 
487
320
 
470
33E
 
452
Other values (23)
2254 
ValueCountFrequency (%) 
01822477.8%
 
77315456.6%
 
33H4872.1%
 
3204702.0%
 
33E4521.9%
 
3254061.7%
 
73H2090.9%
 
73E2040.9%
 
3232030.9%
 
33L2000.9%
 
Other values (18)10324.4%
 
2021-01-21T23:27:04.308835image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20187 
773
 
1448
33H
 
269
33E
 
265
325
 
203
Other values (22)
 
1060
ValueCountFrequency (%) 
02018786.2%
 
77314486.2%
 
33H2691.1%
 
33E2651.1%
 
3252030.9%
 
3201910.8%
 
73H1090.5%
 
73E970.4%
 
33L910.4%
 
333770.3%
 
Other values (17)4952.1%
 
2021-01-21T23:27:04.430511image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20851 
773
 
1430
33H
 
221
33E
 
148
320
 
147
Other values (23)
 
635
ValueCountFrequency (%) 
02085189.0%
 
77314306.1%
 
33H2210.9%
 
33E1480.6%
 
3201470.6%
 
3251060.5%
 
73H750.3%
 
33L590.3%
 
321510.2%
 
73E510.2%
 
Other values (18)2931.3%
 
2021-01-21T23:27:04.546202image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%
Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
773
6900 
33H
 
1010
320
 
267
33E
 
201
Other values (21)
 
878
ValueCountFrequency (%) 
01417660.5%
 
773690029.4%
 
33H10104.3%
 
3202671.1%
 
33E2010.9%
 
73H1920.8%
 
3251540.7%
 
359910.4%
 
33L860.4%
 
73E640.3%
 
Other values (16)2911.2%
 
2021-01-21T23:27:04.650921image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct29
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
773
2303 
73H
 
1193
325
 
957
33H
 
800
Other values (24)
4003 
ValueCountFrequency (%) 
01417660.5%
 
77323039.8%
 
73H11935.1%
 
3259574.1%
 
33H8003.4%
 
3207043.0%
 
33E6402.7%
 
33L6122.6%
 
73E3151.3%
 
7382361.0%
 
Other values (19)14966.4%
 
2021-01-21T23:27:04.773593image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct30
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17013 
773
1806 
320
 
614
33E
 
553
33H
 
540
Other values (25)
2906 
ValueCountFrequency (%) 
01701372.6%
 
77318067.7%
 
3206142.6%
 
33E5532.4%
 
33H5402.3%
 
3254902.1%
 
73H3261.4%
 
73E2761.2%
 
3232611.1%
 
33L2541.1%
 
Other values (20)12995.5%
 
2021-01-21T23:27:04.892275image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19455 
773
 
1688
33E
 
305
33H
 
286
325
 
278
Other values (23)
 
1420
ValueCountFrequency (%) 
01945583.0%
 
77316887.2%
 
33E3051.3%
 
33H2861.2%
 
3252781.2%
 
3202531.1%
 
73E1490.6%
 
73H1430.6%
 
33L1270.5%
 
3231000.4%
 
Other values (18)6482.8%
 
2021-01-21T23:27:05.009961image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20312 
773
 
1659
33H
 
224
320
 
201
33E
 
173
Other values (22)
 
863
ValueCountFrequency (%) 
02031286.7%
 
77316597.1%
 
33H2241.0%
 
3202010.9%
 
33E1730.7%
 
3251330.6%
 
73H1020.4%
 
33L840.4%
 
738600.3%
 
323590.3%
 
Other values (17)4251.8%
 
2021-01-21T23:27:05.131636image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

seat_window_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02927620348
Minimum0
Maximum15
Zeros23052
Zeros (%)98.4%
Memory size183.1 KiB
2021-01-21T23:27:05.220398image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2821958959
Coefficient of variation (CV)9.639087804
Kurtosis468.3211679
Mean0.02927620348
Median Absolute Deviation (MAD)0
Skewness16.28373017
Sum686
Variance0.07963452368
MonotocityNot monotonic
2021-01-21T23:27:05.292206image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02305298.4%
 
12220.9%
 
2770.3%
 
4380.2%
 
3350.1%
 
54< 0.1%
 
63< 0.1%
 
151< 0.1%
 
ValueCountFrequency (%) 
02305298.4%
 
12220.9%
 
2770.3%
 
3350.1%
 
4380.2%
 
ValueCountFrequency (%) 
151< 0.1%
 
63< 0.1%
 
54< 0.1%
 
4380.2%
 
3350.1%
 

seat_window_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06068624104
Minimum0
Maximum22
Zeros22801
Zeros (%)97.3%
Memory size183.1 KiB
2021-01-21T23:27:05.372990image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.499400185
Coefficient of variation (CV)8.229215988
Kurtosis300.8854251
Mean0.06068624104
Median Absolute Deviation (MAD)0
Skewness14.04917443
Sum1422
Variance0.2494005448
MonotocityNot monotonic
2021-01-21T23:27:05.446793image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02280197.3%
 
13231.4%
 
21560.7%
 
3520.2%
 
4240.1%
 
7220.1%
 
6210.1%
 
9160.1%
 
5130.1%
 
83< 0.1%
 
ValueCountFrequency (%) 
02280197.3%
 
13231.4%
 
21560.7%
 
3520.2%
 
4240.1%
 
ValueCountFrequency (%) 
221< 0.1%
 
9160.1%
 
83< 0.1%
 
7220.1%
 
6210.1%
 

seat_window_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1636223967
Minimum0
Maximum35
Zeros22083
Zeros (%)94.2%
Memory size183.1 KiB
2021-01-21T23:27:05.532565image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.099362775
Coefficient of variation (CV)6.718901552
Kurtosis232.9792867
Mean0.1636223967
Median Absolute Deviation (MAD)0
Skewness13.18467095
Sum3834
Variance1.208598512
MonotocityNot monotonic
2021-01-21T23:27:05.622324image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
02208394.2%
 
16392.7%
 
23241.4%
 
31250.5%
 
4730.3%
 
5380.2%
 
7300.1%
 
19290.1%
 
6250.1%
 
8190.1%
 
Other values (13)470.2%
 
ValueCountFrequency (%) 
02208394.2%
 
16392.7%
 
23241.4%
 
31250.5%
 
4730.3%
 
ValueCountFrequency (%) 
351< 0.1%
 
341< 0.1%
 
201< 0.1%
 
19290.1%
 
182< 0.1%
 

seat_window_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct37
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4973540457
Minimum0
Maximum62
Zeros19514
Zeros (%)83.3%
Memory size183.1 KiB
2021-01-21T23:27:05.721060image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.061181031
Coefficient of variation (CV)4.144293283
Kurtosis170.612978
Mean0.4973540457
Median Absolute Deviation (MAD)0
Skewness10.72536887
Sum11654
Variance4.248467242
MonotocityNot monotonic
2021-01-21T23:27:05.827775image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
01951483.3%
 
115476.6%
 
211194.8%
 
34411.9%
 
43381.4%
 
51210.5%
 
6710.3%
 
7440.2%
 
8400.2%
 
10270.1%
 
Other values (27)1700.7%
 
ValueCountFrequency (%) 
01951483.3%
 
115476.6%
 
211194.8%
 
34411.9%
 
43381.4%
 
ValueCountFrequency (%) 
621< 0.1%
 
611< 0.1%
 
421< 0.1%
 
371< 0.1%
 
362< 0.1%
 

seat_window_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct48
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6881614886
Minimum0
Maximum75
Zeros18387
Zeros (%)78.5%
Memory size183.1 KiB
2021-01-21T23:27:05.949450image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum75
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.663848008
Coefficient of variation (CV)3.870963506
Kurtosis154.1870148
Mean0.6881614886
Median Absolute Deviation (MAD)0
Skewness10.50987849
Sum16125
Variance7.09608621
MonotocityNot monotonic
2021-01-21T23:27:06.067135image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%) 
01838778.5%
 
119078.1%
 
213735.9%
 
36412.7%
 
44722.0%
 
51410.6%
 
61180.5%
 
7620.3%
 
8560.2%
 
10350.1%
 
Other values (38)2401.0%
 
ValueCountFrequency (%) 
01838778.5%
 
119078.1%
 
213735.9%
 
36412.7%
 
44722.0%
 
ValueCountFrequency (%) 
751< 0.1%
 
641< 0.1%
 
531< 0.1%
 
511< 0.1%
 
491< 0.1%
 

seat_walkway_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0455786958
Minimum0
Maximum15
Zeros22842
Zeros (%)97.5%
Memory size183.1 KiB
2021-01-21T23:27:06.173849image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3741076734
Coefficient of variation (CV)8.207950377
Kurtosis408.9539406
Mean0.0455786958
Median Absolute Deviation (MAD)0
Skewness15.98854092
Sum1068
Variance0.1399565513
MonotocityNot monotonic
2021-01-21T23:27:06.252639image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
02284297.5%
 
13511.5%
 
21250.5%
 
3670.3%
 
4240.1%
 
68< 0.1%
 
58< 0.1%
 
133< 0.1%
 
151< 0.1%
 
111< 0.1%
 
Other values (2)2< 0.1%
 
ValueCountFrequency (%) 
02284297.5%
 
13511.5%
 
21250.5%
 
3670.3%
 
4240.1%
 
ValueCountFrequency (%) 
151< 0.1%
 
133< 0.1%
 
111< 0.1%
 
101< 0.1%
 
71< 0.1%
 

seat_walkway_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct19
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08915158757
Minimum0
Maximum26
Zeros22413
Zeros (%)95.7%
Memory size183.1 KiB
2021-01-21T23:27:06.337413image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6311843477
Coefficient of variation (CV)7.079900256
Kurtosis507.2845134
Mean0.08915158757
Median Absolute Deviation (MAD)0
Skewness17.721905
Sum2089
Variance0.3983936807
MonotocityNot monotonic
2021-01-21T23:27:06.427173image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
02241395.7%
 
15692.4%
 
22311.0%
 
31120.5%
 
4470.2%
 
7140.1%
 
5120.1%
 
69< 0.1%
 
86< 0.1%
 
94< 0.1%
 
Other values (9)150.1%
 
ValueCountFrequency (%) 
02241395.7%
 
15692.4%
 
22311.0%
 
31120.5%
 
4470.2%
 
ValueCountFrequency (%) 
261< 0.1%
 
251< 0.1%
 
232< 0.1%
 
201< 0.1%
 
151< 0.1%
 

seat_walkway_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct32
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2578098327
Minimum0
Maximum62
Zeros21232
Zeros (%)90.6%
Memory size183.1 KiB
2021-01-21T23:27:06.518927image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.403726526
Coefficient of variation (CV)5.444813764
Kurtosis467.9758737
Mean0.2578098327
Median Absolute Deviation (MAD)0
Skewness16.62977455
Sum6041
Variance1.970448158
MonotocityNot monotonic
2021-01-21T23:27:06.611680image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
02123290.6%
 
19143.9%
 
25792.5%
 
33081.3%
 
41730.7%
 
5470.2%
 
8340.1%
 
6330.1%
 
14310.1%
 
7250.1%
 
Other values (22)560.2%
 
ValueCountFrequency (%) 
02123290.6%
 
19143.9%
 
25792.5%
 
33081.3%
 
41730.7%
 
ValueCountFrequency (%) 
621< 0.1%
 
571< 0.1%
 
423< 0.1%
 
331< 0.1%
 
321< 0.1%
 

seat_walkway_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.814441789
Minimum0
Maximum110
Zeros17693
Zeros (%)75.5%
Memory size183.1 KiB
2021-01-21T23:27:06.719391image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum110
Range110
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.09908629
Coefficient of variation (CV)3.805166105
Kurtosis272.6979722
Mean0.814441789
Median Absolute Deviation (MAD)0
Skewness13.53259537
Sum19084
Variance9.604335833
MonotocityNot monotonic
2021-01-21T23:27:06.838075image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
01769375.5%
 
118217.8%
 
216266.9%
 
38453.6%
 
46382.7%
 
52150.9%
 
61430.6%
 
7960.4%
 
8920.4%
 
9440.2%
 
Other values (35)2190.9%
 
ValueCountFrequency (%) 
01769375.5%
 
118217.8%
 
216266.9%
 
38453.6%
 
46382.7%
 
ValueCountFrequency (%) 
1101< 0.1%
 
901< 0.1%
 
802< 0.1%
 
771< 0.1%
 
732< 0.1%
 

seat_walkway_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.169597132
Minimum0
Maximum143
Zeros16119
Zeros (%)68.8%
Memory size183.1 KiB
2021-01-21T23:27:06.952767image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum143
Range143
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.205986885
Coefficient of variation (CV)3.596098836
Kurtosis262.0689671
Mean1.169597132
Median Absolute Deviation (MAD)0
Skewness13.40745608
Sum27406
Variance17.69032568
MonotocityNot monotonic
2021-01-21T23:27:07.075440image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01611968.8%
 
121319.1%
 
219428.3%
 
310854.6%
 
48513.6%
 
53301.4%
 
62271.0%
 
71890.8%
 
81150.5%
 
9830.4%
 
Other values (50)3601.5%
 
ValueCountFrequency (%) 
01611968.8%
 
121319.1%
 
219428.3%
 
310854.6%
 
48513.6%
 
ValueCountFrequency (%) 
1431< 0.1%
 
1291< 0.1%
 
1081< 0.1%
 
981< 0.1%
 
942< 0.1%
 

seat_middle_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01229088426
Minimum0
Maximum4
Zeros23192
Zeros (%)99.0%
Memory size183.1 KiB
2021-01-21T23:27:07.180160image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1317084427
Coefficient of variation (CV)10.71594524
Kurtosis245.7541724
Mean0.01229088426
Median Absolute Deviation (MAD)0
Skewness13.73012708
Sum288
Variance0.01734711388
MonotocityNot monotonic
2021-01-21T23:27:07.252965image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02319299.0%
 
12020.9%
 
2310.1%
 
34< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
02319299.0%
 
12020.9%
 
2310.1%
 
34< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
43< 0.1%
 
34< 0.1%
 
2310.1%
 
12020.9%
 
02319299.0%
 

seat_middle_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02543530215
Minimum0
Maximum5
Zeros22947
Zeros (%)97.9%
Memory size183.1 KiB
2021-01-21T23:27:07.336741image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.193889031
Coefficient of variation (CV)7.622831836
Kurtosis144.7202341
Mean0.02543530215
Median Absolute Deviation (MAD)0
Skewness10.26171709
Sum596
Variance0.03759295634
MonotocityNot monotonic
2021-01-21T23:27:07.412538image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
02294797.9%
 
14011.7%
 
2660.3%
 
3120.1%
 
53< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
02294797.9%
 
14011.7%
 
2660.3%
 
3120.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
53< 0.1%
 
43< 0.1%
 
3120.1%
 
2660.3%
 
14011.7%
 

seat_middle_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08151246159
Minimum0
Maximum10
Zeros22210
Zeros (%)94.8%
Memory size183.1 KiB
2021-01-21T23:27:07.493323image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4153550168
Coefficient of variation (CV)5.095601441
Kurtosis86.01758131
Mean0.08151246159
Median Absolute Deviation (MAD)0
Skewness7.724815229
Sum1910
Variance0.17251979
MonotocityNot monotonic
2021-01-21T23:27:07.576102image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02221094.8%
 
17693.3%
 
23281.4%
 
3770.3%
 
6190.1%
 
4180.1%
 
57< 0.1%
 
82< 0.1%
 
101< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
02221094.8%
 
17693.3%
 
23281.4%
 
3770.3%
 
4180.1%
 
ValueCountFrequency (%) 
101< 0.1%
 
82< 0.1%
 
71< 0.1%
 
6190.1%
 
57< 0.1%
 

seat_middle_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2977552066
Minimum0
Maximum25
Zeros19779
Zeros (%)84.4%
Memory size183.1 KiB
2021-01-21T23:27:07.654891image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.89896687
Coefficient of variation (CV)3.019147441
Kurtosis75.10824372
Mean0.2977552066
Median Absolute Deviation (MAD)0
Skewness6.003055408
Sum6977
Variance0.8081414333
MonotocityNot monotonic
2021-01-21T23:27:07.740661image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
01977984.4%
 
118527.9%
 
210134.3%
 
34391.9%
 
42281.0%
 
5520.2%
 
8180.1%
 
6150.1%
 
7120.1%
 
107< 0.1%
 
Other values (7)170.1%
 
ValueCountFrequency (%) 
01977984.4%
 
118527.9%
 
210134.3%
 
34391.9%
 
42281.0%
 
ValueCountFrequency (%) 
251< 0.1%
 
231< 0.1%
 
161< 0.1%
 
135< 0.1%
 
122< 0.1%
 

seat_middle_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4264680778
Minimum0
Maximum29
Zeros18582
Zeros (%)79.3%
Memory size183.1 KiB
2021-01-21T23:27:07.832416image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.139557722
Coefficient of variation (CV)2.672082111
Kurtosis67.71793351
Mean0.4264680778
Median Absolute Deviation (MAD)0
Skewness5.769962574
Sum9993
Variance1.298591801
MonotocityNot monotonic
2021-01-21T23:27:07.918186image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
01858279.3%
 
123269.9%
 
212885.5%
 
36532.8%
 
43361.4%
 
51040.4%
 
6480.2%
 
7220.1%
 
8190.1%
 
11140.1%
 
Other values (11)400.2%
 
ValueCountFrequency (%) 
01858279.3%
 
123269.9%
 
212885.5%
 
36532.8%
 
43361.4%
 
ValueCountFrequency (%) 
291< 0.1%
 
271< 0.1%
 
221< 0.1%
 
202< 0.1%
 
161< 0.1%
 

seat_safe_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

seat_safe_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

seat_safe_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

seat_safe_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

seat_safe_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

prebuy_d_cnt_m3_d3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0087487197
Minimum0
Maximum17
Zeros23336
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:27:08.008944image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2058848391
Coefficient of variation (CV)23.53313926
Kurtosis3334.227216
Mean0.0087487197
Median Absolute Deviation (MAD)0
Skewness49.64532951
Sum205
Variance0.04238856696
MonotocityNot monotonic
2021-01-21T23:27:08.083744image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02333699.6%
 
1530.2%
 
2210.1%
 
310< 0.1%
 
47< 0.1%
 
52< 0.1%
 
141< 0.1%
 
111< 0.1%
 
171< 0.1%
 
ValueCountFrequency (%) 
02333699.6%
 
1530.2%
 
2210.1%
 
310< 0.1%
 
47< 0.1%
 
ValueCountFrequency (%) 
171< 0.1%
 
141< 0.1%
 
111< 0.1%
 
52< 0.1%
 
47< 0.1%
 

prebuy_d_cnt_m3_d7
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004694434961
Minimum0
Maximum9
Zeros23362
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:27:08.162534image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1122978102
Coefficient of variation (CV)23.92147535
Kurtosis2478.830027
Mean0.004694434961
Median Absolute Deviation (MAD)0
Skewness42.25028575
Sum110
Variance0.01261079818
MonotocityNot monotonic
2021-01-21T23:27:08.230352image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02336299.7%
 
1510.2%
 
2120.1%
 
53< 0.1%
 
42< 0.1%
 
91< 0.1%
 
31< 0.1%
 
ValueCountFrequency (%) 
02336299.7%
 
1510.2%
 
2120.1%
 
31< 0.1%
 
42< 0.1%
 
ValueCountFrequency (%) 
91< 0.1%
 
53< 0.1%
 
42< 0.1%
 
31< 0.1%
 
2120.1%
 

prebuy_d_cnt_m3_d14
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004224991465
Minimum0
Maximum6
Zeros23359
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:27:08.300165image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09252312011
Coefficient of variation (CV)21.89900758
Kurtosis1750.253224
Mean0.004224991465
Median Absolute Deviation (MAD)0
Skewness35.91425239
Sum99
Variance0.008560527756
MonotocityNot monotonic
2021-01-21T23:27:08.366987image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
02335999.7%
 
1590.3%
 
210< 0.1%
 
52< 0.1%
 
61< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
02335999.7%
 
1590.3%
 
210< 0.1%
 
41< 0.1%
 
52< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
52< 0.1%
 
41< 0.1%
 
210< 0.1%
 
1590.3%
 

prebuy_d_cnt_m3_d30
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004182314783
Minimum0
Maximum6
Zeros23369
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:27:08.441787image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09547621224
Coefficient of variation (CV)22.8285572
Kurtosis1377.32872
Mean0.004182314783
Median Absolute Deviation (MAD)0
Skewness32.62798284
Sum98
Variance0.009115707104
MonotocityNot monotonic
2021-01-21T23:27:08.511600image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
02336999.7%
 
1410.2%
 
2160.1%
 
44< 0.1%
 
61< 0.1%
 
31< 0.1%
 
ValueCountFrequency (%) 
02336999.7%
 
1410.2%
 
2160.1%
 
31< 0.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
44< 0.1%
 
31< 0.1%
 
2160.1%
 
1410.2%
 

prebuy_d_cnt_m3_d99
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005932058723
Minimum0
Maximum4
Zeros23321
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:27:08.589392image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09380436698
Coefficient of variation (CV)15.81312178
Kurtosis483.2406004
Mean0.005932058723
Median Absolute Deviation (MAD)0
Skewness19.71848132
Sum139
Variance0.008799259265
MonotocityNot monotonic
2021-01-21T23:27:08.669179image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02332199.5%
 
1880.4%
 
2190.1%
 
33< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
02332199.5%
 
1880.4%
 
2190.1%
 
33< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
41< 0.1%
 
33< 0.1%
 
2190.1%
 
1880.4%
 
02332199.5%
 

prebuy_d_cnt_m6_d3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01911915329
Minimum0
Maximum31
Zeros23265
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:27:08.754950image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.410659608
Coefficient of variation (CV)21.47896414
Kurtosis2941.808602
Mean0.01911915329
Median Absolute Deviation (MAD)0
Skewness47.69461746
Sum448
Variance0.1686413136
MonotocityNot monotonic
2021-01-21T23:27:08.833739image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
02326599.3%
 
1950.4%
 
2280.1%
 
3140.1%
 
49< 0.1%
 
57< 0.1%
 
113< 0.1%
 
102< 0.1%
 
72< 0.1%
 
62< 0.1%
 
Other values (5)5< 0.1%
 
ValueCountFrequency (%) 
02326599.3%
 
1950.4%
 
2280.1%
 
3140.1%
 
49< 0.1%
 
ValueCountFrequency (%) 
311< 0.1%
 
271< 0.1%
 
251< 0.1%
 
141< 0.1%
 
113< 0.1%
 

prebuy_d_cnt_m6_d7
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009218163196
Minimum0
Maximum14
Zeros23308
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:27:08.916518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1884380355
Coefficient of variation (CV)20.44203725
Kurtosis2164.133772
Mean0.009218163196
Median Absolute Deviation (MAD)0
Skewness40.26933566
Sum216
Variance0.03550889321
MonotocityNot monotonic
2021-01-21T23:27:08.988326image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02330899.5%
 
1910.4%
 
2200.1%
 
43< 0.1%
 
92< 0.1%
 
72< 0.1%
 
52< 0.1%
 
141< 0.1%
 
81< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
02330899.5%
 
1910.4%
 
2200.1%
 
31< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
141< 0.1%
 
92< 0.1%
 
81< 0.1%
 
72< 0.1%
 
61< 0.1%
 

prebuy_d_cnt_m6_d14
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009090133151
Minimum0
Maximum12
Zeros23295
Zeros (%)99.4%
Memory size183.1 KiB
2021-01-21T23:27:09.068113image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1771197972
Coefficient of variation (CV)19.48484078
Kurtosis2801.762944
Mean0.009090133151
Median Absolute Deviation (MAD)0
Skewness45.49692392
Sum213
Variance0.03137142254
MonotocityNot monotonic
2021-01-21T23:27:09.157873image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02329599.4%
 
11040.4%
 
2220.1%
 
35< 0.1%
 
123< 0.1%
 
42< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
02329599.4%
 
11040.4%
 
2220.1%
 
35< 0.1%
 
42< 0.1%
 
ValueCountFrequency (%) 
123< 0.1%
 
61< 0.1%
 
42< 0.1%
 
35< 0.1%
 
2220.1%
 

prebuy_d_cnt_m6_d30
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007553772619
Minimum0
Maximum8
Zeros23330
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:27:09.241649image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1397582587
Coefficient of variation (CV)18.50178259
Kurtosis1050.678393
Mean0.007553772619
Median Absolute Deviation (MAD)0
Skewness28.0286199
Sum177
Variance0.01953237089
MonotocityNot monotonic
2021-01-21T23:27:09.322433image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02333099.6%
 
1580.2%
 
2310.1%
 
45< 0.1%
 
34< 0.1%
 
62< 0.1%
 
81< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
02333099.6%
 
1580.2%
 
2310.1%
 
34< 0.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
81< 0.1%
 
62< 0.1%
 
51< 0.1%
 
45< 0.1%
 
34< 0.1%
 

prebuy_d_cnt_m6_d99
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01237623762
Minimum0
Maximum5
Zeros23211
Zeros (%)99.1%
Memory size183.1 KiB
2021-01-21T23:27:09.409201image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1401772004
Coefficient of variation (CV)11.3263178
Kurtosis272.6446773
Mean0.01237623762
Median Absolute Deviation (MAD)0
Skewness14.54840734
Sum290
Variance0.01964964752
MonotocityNot monotonic
2021-01-21T23:27:09.486993image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
02321199.1%
 
11650.7%
 
2470.2%
 
36< 0.1%
 
42< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
02321199.1%
 
11650.7%
 
2470.2%
 
36< 0.1%
 
42< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
42< 0.1%
 
36< 0.1%
 
2470.2%
 
11650.7%
 

prebuy_d_cnt_y1_d3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04365824513
Minimum0
Maximum83
Zeros23132
Zeros (%)98.7%
Memory size183.1 KiB
2021-01-21T23:27:09.575756image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum83
Range83
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8624473064
Coefficient of variation (CV)19.75451152
Kurtosis4256.979477
Mean0.04365824513
Median Absolute Deviation (MAD)0
Skewness54.45392832
Sum1023
Variance0.7438153564
MonotocityNot monotonic
2021-01-21T23:27:09.659532image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
02313298.7%
 
11650.7%
 
2530.2%
 
3220.1%
 
6120.1%
 
411< 0.1%
 
57< 0.1%
 
184< 0.1%
 
84< 0.1%
 
93< 0.1%
 
Other values (13)190.1%
 
ValueCountFrequency (%) 
02313298.7%
 
11650.7%
 
2530.2%
 
3220.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
831< 0.1%
 
461< 0.1%
 
321< 0.1%
 
281< 0.1%
 
242< 0.1%
 

prebuy_d_cnt_y1_d7
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02031410038
Minimum0
Maximum18
Zeros23210
Zeros (%)99.1%
Memory size183.1 KiB
2021-01-21T23:27:09.745302image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3433542334
Coefficient of variation (CV)16.90226134
Kurtosis1450.751678
Mean0.02031410038
Median Absolute Deviation (MAD)0
Skewness34.17782566
Sum476
Variance0.1178921296
MonotocityNot monotonic
2021-01-21T23:27:09.832071image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
02321099.1%
 
11410.6%
 
2400.2%
 
3170.1%
 
56< 0.1%
 
46< 0.1%
 
62< 0.1%
 
162< 0.1%
 
151< 0.1%
 
141< 0.1%
 
Other values (6)6< 0.1%
 
ValueCountFrequency (%) 
02321099.1%
 
11410.6%
 
2400.2%
 
3170.1%
 
46< 0.1%
 
ValueCountFrequency (%) 
181< 0.1%
 
171< 0.1%
 
162< 0.1%
 
151< 0.1%
 
141< 0.1%
 

prebuy_d_cnt_y1_d14
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01971662684
Minimum0
Maximum21
Zeros23178
Zeros (%)98.9%
Memory size183.1 KiB
2021-01-21T23:27:09.920834image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3154028134
Coefficient of variation (CV)15.99679377
Kurtosis2172.93245
Mean0.01971662684
Median Absolute Deviation (MAD)0
Skewness39.9533079
Sum462
Variance0.09947893468
MonotocityNot monotonic
2021-01-21T23:27:09.996631image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02317898.9%
 
11830.8%
 
2360.2%
 
3150.1%
 
46< 0.1%
 
63< 0.1%
 
53< 0.1%
 
112< 0.1%
 
192< 0.1%
 
91< 0.1%
 
Other values (3)3< 0.1%
 
ValueCountFrequency (%) 
02317898.9%
 
11830.8%
 
2360.2%
 
3150.1%
 
46< 0.1%
 
ValueCountFrequency (%) 
211< 0.1%
 
192< 0.1%
 
112< 0.1%
 
91< 0.1%
 
81< 0.1%
 

prebuy_d_cnt_y1_d30
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02010071697
Minimum0
Maximum17
Zeros23150
Zeros (%)98.8%
Memory size183.1 KiB
2021-01-21T23:27:10.077415image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2630676378
Coefficient of variation (CV)13.08747535
Kurtosis1404.201996
Mean0.02010071697
Median Absolute Deviation (MAD)0
Skewness30.63989357
Sum471
Variance0.06920458206
MonotocityNot monotonic
2021-01-21T23:27:10.152215image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
02315098.8%
 
11880.8%
 
2680.3%
 
310< 0.1%
 
55< 0.1%
 
44< 0.1%
 
122< 0.1%
 
111< 0.1%
 
91< 0.1%
 
81< 0.1%
 
Other values (2)2< 0.1%
 
ValueCountFrequency (%) 
02315098.8%
 
11880.8%
 
2680.3%
 
310< 0.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
171< 0.1%
 
122< 0.1%
 
111< 0.1%
 
91< 0.1%
 
81< 0.1%
 

prebuy_d_cnt_y1_d99
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0402867873
Minimum0
Maximum6
Zeros22881
Zeros (%)97.6%
Memory size183.1 KiB
2021-01-21T23:27:10.239980image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2939047096
Coefficient of variation (CV)7.295312666
Kurtosis107.7155857
Mean0.0402867873
Median Absolute Deviation (MAD)0
Skewness9.333925918
Sum944
Variance0.08637997835
MonotocityNot monotonic
2021-01-21T23:27:10.314780image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02288197.6%
 
12591.1%
 
22381.0%
 
3240.1%
 
5150.1%
 
4140.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
02288197.6%
 
12591.1%
 
22381.0%
 
3240.1%
 
4140.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
5150.1%
 
4140.1%
 
3240.1%
 
22381.0%
 

prebuy_d_cnt_y2_d3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct35
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1011010584
Minimum0
Maximum160
Zeros22843
Zeros (%)97.5%
Memory size183.1 KiB
2021-01-21T23:27:10.408531image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum160
Range160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.746460862
Coefficient of variation (CV)17.27440731
Kurtosis3640.078009
Mean0.1011010584
Median Absolute Deviation (MAD)0
Skewness50.26048967
Sum2369
Variance3.050125543
MonotocityNot monotonic
2021-01-21T23:27:10.515246image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
02284397.5%
 
13371.4%
 
2970.4%
 
3320.1%
 
4240.1%
 
5180.1%
 
6170.1%
 
77< 0.1%
 
87< 0.1%
 
186< 0.1%
 
Other values (25)440.2%
 
ValueCountFrequency (%) 
02284397.5%
 
13371.4%
 
2970.4%
 
3320.1%
 
4240.1%
 
ValueCountFrequency (%) 
1601< 0.1%
 
941< 0.1%
 
651< 0.1%
 
601< 0.1%
 
461< 0.1%
 

prebuy_d_cnt_y2_d7
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04976101058
Minimum0
Maximum36
Zeros22962
Zeros (%)98.0%
Memory size183.1 KiB
2021-01-21T23:27:10.612983image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6771535452
Coefficient of variation (CV)13.60811481
Kurtosis1369.588453
Mean0.04976101058
Median Absolute Deviation (MAD)0
Skewness32.75147358
Sum1166
Variance0.4585369238
MonotocityNot monotonic
2021-01-21T23:27:10.702744image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
02296298.0%
 
12861.2%
 
2830.4%
 
3370.2%
 
4140.1%
 
6130.1%
 
511< 0.1%
 
106< 0.1%
 
74< 0.1%
 
323< 0.1%
 
Other values (11)130.1%
 
ValueCountFrequency (%) 
02296298.0%
 
12861.2%
 
2830.4%
 
3370.2%
 
4140.1%
 
ValueCountFrequency (%) 
361< 0.1%
 
323< 0.1%
 
281< 0.1%
 
261< 0.1%
 
251< 0.1%
 

prebuy_d_cnt_y2_d14
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04771252987
Minimum0
Maximum36
Zeros22860
Zeros (%)97.6%
Memory size183.1 KiB
2021-01-21T23:27:10.798488image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.581707166
Coefficient of variation (CV)12.1919162
Kurtosis1942.392839
Mean0.04771252987
Median Absolute Deviation (MAD)0
Skewness37.70067109
Sum1118
Variance0.338383227
MonotocityNot monotonic
2021-01-21T23:27:10.879272image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
02286097.6%
 
13991.7%
 
2850.4%
 
3290.1%
 
4260.1%
 
5140.1%
 
93< 0.1%
 
63< 0.1%
 
112< 0.1%
 
362< 0.1%
 
Other values (8)9< 0.1%
 
ValueCountFrequency (%) 
02286097.6%
 
13991.7%
 
2850.4%
 
3290.1%
 
4260.1%
 
ValueCountFrequency (%) 
362< 0.1%
 
321< 0.1%
 
241< 0.1%
 
211< 0.1%
 
191< 0.1%
 

prebuy_d_cnt_y2_d30
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05304711506
Minimum0
Maximum24
Zeros22709
Zeros (%)96.9%
Memory size183.1 KiB
2021-01-21T23:27:10.962050image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4605129154
Coefficient of variation (CV)8.681205659
Kurtosis918.6097074
Mean0.05304711506
Median Absolute Deviation (MAD)0
Skewness24.36002807
Sum1243
Variance0.2120721453
MonotocityNot monotonic
2021-01-21T23:27:11.048818image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
02270996.9%
 
14882.1%
 
21430.6%
 
3500.2%
 
4120.1%
 
511< 0.1%
 
66< 0.1%
 
104< 0.1%
 
203< 0.1%
 
142< 0.1%
 
Other values (4)4< 0.1%
 
ValueCountFrequency (%) 
02270996.9%
 
14882.1%
 
21430.6%
 
3500.2%
 
4120.1%
 
ValueCountFrequency (%) 
241< 0.1%
 
203< 0.1%
 
142< 0.1%
 
121< 0.1%
 
104< 0.1%
 

prebuy_d_cnt_y2_d99
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1345595766
Minimum0
Maximum17
Zeros21879
Zeros (%)93.4%
Memory size183.1 KiB
2021-01-21T23:27:11.128605image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6057896324
Coefficient of variation (CV)4.502017972
Kurtosis91.23428684
Mean0.1345595766
Median Absolute Deviation (MAD)0
Skewness7.338428455
Sum3153
Variance0.3669810787
MonotocityNot monotonic
2021-01-21T23:27:11.210386image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
02187993.4%
 
27523.2%
 
15252.2%
 
31300.6%
 
4980.4%
 
5200.1%
 
99< 0.1%
 
86< 0.1%
 
75< 0.1%
 
64< 0.1%
 
Other values (4)4< 0.1%
 
ValueCountFrequency (%) 
02187993.4%
 
15252.2%
 
27523.2%
 
31300.6%
 
4980.4%
 
ValueCountFrequency (%) 
171< 0.1%
 
141< 0.1%
 
121< 0.1%
 
111< 0.1%
 
99< 0.1%
 

prebuy_d_cnt_y3_d3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct42
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1492830318
Minimum0
Maximum177
Zeros22647
Zeros (%)96.6%
Memory size183.1 KiB
2021-01-21T23:27:11.314109image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum177
Range177
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.290328926
Coefficient of variation (CV)15.34219193
Kurtosis2343.506907
Mean0.1492830318
Median Absolute Deviation (MAD)0
Skewness40.60749126
Sum3498
Variance5.245606588
MonotocityNot monotonic
2021-01-21T23:27:11.419827image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%) 
02264796.6%
 
14561.9%
 
21280.5%
 
3430.2%
 
4260.1%
 
5210.1%
 
6140.1%
 
811< 0.1%
 
107< 0.1%
 
77< 0.1%
 
Other values (32)720.3%
 
ValueCountFrequency (%) 
02264796.6%
 
14561.9%
 
21280.5%
 
3430.2%
 
4260.1%
 
ValueCountFrequency (%) 
1771< 0.1%
 
1351< 0.1%
 
831< 0.1%
 
731< 0.1%
 
702< 0.1%
 

prebuy_d_cnt_y3_d7
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07494025265
Minimum0
Maximum51
Zeros22782
Zeros (%)97.2%
Memory size183.1 KiB
2021-01-21T23:27:11.527539image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9499085157
Coefficient of variation (CV)12.67554461
Kurtosis1323.543998
Mean0.07494025265
Median Absolute Deviation (MAD)0
Skewness32.12302411
Sum1756
Variance0.9023261882
MonotocityNot monotonic
2021-01-21T23:27:11.643229image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
02278297.2%
 
14011.7%
 
21030.4%
 
3450.2%
 
4210.1%
 
6200.1%
 
5150.1%
 
810< 0.1%
 
75< 0.1%
 
94< 0.1%
 
Other values (17)260.1%
 
ValueCountFrequency (%) 
02278297.2%
 
14011.7%
 
21030.4%
 
3450.2%
 
4210.1%
 
ValueCountFrequency (%) 
511< 0.1%
 
471< 0.1%
 
413< 0.1%
 
381< 0.1%
 
311< 0.1%
 

prebuy_d_cnt_y3_d14
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07105667463
Minimum0
Maximum46
Zeros22627
Zeros (%)96.6%
Memory size183.1 KiB
2021-01-21T23:27:11.732989image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7669580181
Coefficient of variation (CV)10.79360978
Kurtosis1665.504826
Mean0.07105667463
Median Absolute Deviation (MAD)0
Skewness34.72185369
Sum1665
Variance0.5882246015
MonotocityNot monotonic
2021-01-21T23:27:11.846686image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
02262796.6%
 
15562.4%
 
21140.5%
 
3450.2%
 
4270.1%
 
5250.1%
 
69< 0.1%
 
78< 0.1%
 
104< 0.1%
 
83< 0.1%
 
Other values (11)140.1%
 
ValueCountFrequency (%) 
02262796.6%
 
15562.4%
 
21140.5%
 
3450.2%
 
4270.1%
 
ValueCountFrequency (%) 
462< 0.1%
 
341< 0.1%
 
331< 0.1%
 
321< 0.1%
 
251< 0.1%
 

prebuy_d_cnt_y3_d30
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08061625128
Minimum0
Maximum36
Zeros22400
Zeros (%)95.6%
Memory size183.1 KiB
2021-01-21T23:27:11.956392image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6164737974
Coefficient of variation (CV)7.647016422
Kurtosis1006.476752
Mean0.08061625128
Median Absolute Deviation (MAD)0
Skewness24.60735359
Sum1889
Variance0.3800399429
MonotocityNot monotonic
2021-01-21T23:27:12.042162image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
02240095.6%
 
16852.9%
 
22010.9%
 
3530.2%
 
5330.1%
 
4230.1%
 
6150.1%
 
77< 0.1%
 
103< 0.1%
 
252< 0.1%
 
Other values (7)10< 0.1%
 
ValueCountFrequency (%) 
02240095.6%
 
16852.9%
 
22010.9%
 
3530.2%
 
4230.1%
 
ValueCountFrequency (%) 
361< 0.1%
 
281< 0.1%
 
252< 0.1%
 
172< 0.1%
 
141< 0.1%
 

prebuy_d_cnt_y3_d99
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1823147832
Minimum0
Maximum39
Zeros21529
Zeros (%)91.9%
Memory size183.1 KiB
2021-01-21T23:27:12.137907image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8100545883
Coefficient of variation (CV)4.443164587
Kurtosis320.3565145
Mean0.1823147832
Median Absolute Deviation (MAD)0
Skewness11.48857295
Sum4272
Variance0.6561884361
MonotocityNot monotonic
2021-01-21T23:27:12.227667image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
02152991.9%
 
28263.5%
 
16262.7%
 
31880.8%
 
41530.7%
 
5370.2%
 
6260.1%
 
8140.1%
 
9130.1%
 
78< 0.1%
 
Other values (7)120.1%
 
ValueCountFrequency (%) 
02152991.9%
 
16262.7%
 
28263.5%
 
31880.8%
 
41530.7%
 
ValueCountFrequency (%) 
391< 0.1%
 
251< 0.1%
 
182< 0.1%
 
161< 0.1%
 
131< 0.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23381 
1
 
37
2
 
13
5
 
1
ValueCountFrequency (%) 
02338199.8%
 
1370.2%
 
2130.1%
 
51< 0.1%
 
2021-01-21T23:27:12.323410image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23364 
1
 
61
2
 
6
4
 
1
ValueCountFrequency (%) 
02336499.7%
 
1610.3%
 
26< 0.1%
 
41< 0.1%
 
2021-01-21T23:27:12.418158image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

prebuy_i_cnt_m3_d14
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005889382042
Minimum0
Maximum4
Zeros23324
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:27:12.494953image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09493764428
Coefficient of variation (CV)16.12013682
Kurtosis532.1040868
Mean0.005889382042
Median Absolute Deviation (MAD)0
Skewness20.4641742
Sum138
Variance0.009013156301
MonotocityNot monotonic
2021-01-21T23:27:12.575736image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02332499.5%
 
1830.4%
 
2220.1%
 
42< 0.1%
 
31< 0.1%
 
ValueCountFrequency (%) 
02332499.5%
 
1830.4%
 
2220.1%
 
31< 0.1%
 
42< 0.1%
 
ValueCountFrequency (%) 
42< 0.1%
 
31< 0.1%
 
2220.1%
 
1830.4%
 
02332499.5%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23269 
1
 
132
2
 
25
3
 
6
ValueCountFrequency (%) 
02326999.3%
 
11320.6%
 
2250.1%
 
36< 0.1%
 
2021-01-21T23:27:12.669486image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

prebuy_i_cnt_m3_d99
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04062820075
Minimum0
Maximum8
Zeros22853
Zeros (%)97.5%
Memory size183.1 KiB
2021-01-21T23:27:12.752266image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3015984582
Coefficient of variation (CV)7.423377178
Kurtosis137.5182374
Mean0.04062820075
Median Absolute Deviation (MAD)0
Skewness10.27875249
Sum952
Variance0.09096163002
MonotocityNot monotonic
2021-01-21T23:27:12.835044image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02285397.5%
 
13491.5%
 
21530.7%
 
4450.2%
 
3250.1%
 
54< 0.1%
 
82< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
02285397.5%
 
13491.5%
 
21530.7%
 
3250.1%
 
4450.2%
 
ValueCountFrequency (%) 
82< 0.1%
 
61< 0.1%
 
54< 0.1%
 
4450.2%
 
3250.1%
 

prebuy_i_cnt_m6_d3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006230795493
Minimum0
Maximum7
Zeros23321
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:27:12.914831image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035188787
Coefficient of variation (CV)16.614071
Kurtosis1163.773578
Mean0.006230795493
Median Absolute Deviation (MAD)0
Skewness26.67529951
Sum146
Variance0.01071615825
MonotocityNot monotonic
2021-01-21T23:27:12.990628image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02332199.5%
 
1830.4%
 
2260.1%
 
71< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
02332199.5%
 
1830.4%
 
2260.1%
 
41< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
41< 0.1%
 
2260.1%
 
1830.4%
 
02332199.5%
 

prebuy_i_cnt_m6_d7
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006956299078
Minimum0
Maximum6
Zeros23303
Zeros (%)99.4%
Memory size183.1 KiB
2021-01-21T23:27:13.079391image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1057168581
Coefficient of variation (CV)15.19728478
Kurtosis729.0364524
Mean0.006956299078
Median Absolute Deviation (MAD)0
Skewness22.16396034
Sum163
Variance0.01117605408
MonotocityNot monotonic
2021-01-21T23:27:13.165167image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02330399.4%
 
11050.4%
 
2170.1%
 
36< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
02330399.4%
 
11050.4%
 
2170.1%
 
36< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
36< 0.1%
 
2170.1%
 
11050.4%
 
02330399.4%
 

prebuy_i_cnt_m6_d14
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01322977125
Minimum0
Maximum7
Zeros23210
Zeros (%)99.1%
Memory size183.1 KiB
2021-01-21T23:27:13.247940image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1639607773
Coefficient of variation (CV)12.39331914
Kurtosis596.989304
Mean0.01322977125
Median Absolute Deviation (MAD)0
Skewness20.47979096
Sum310
Variance0.02688313648
MonotocityNot monotonic
2021-01-21T23:27:13.331717image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02321099.1%
 
11670.7%
 
2430.2%
 
64< 0.1%
 
34< 0.1%
 
52< 0.1%
 
71< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
02321099.1%
 
11670.7%
 
2430.2%
 
34< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
64< 0.1%
 
52< 0.1%
 
41< 0.1%
 
34< 0.1%
 

prebuy_i_cnt_m6_d30
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0232587914
Minimum0
Maximum5
Zeros23077
Zeros (%)98.5%
Memory size183.1 KiB
2021-01-21T23:27:13.415494image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2105091732
Coefficient of variation (CV)9.050735683
Kurtosis135.9772786
Mean0.0232587914
Median Absolute Deviation (MAD)0
Skewness10.94562548
Sum545
Variance0.04431411202
MonotocityNot monotonic
2021-01-21T23:27:13.501263image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02307798.5%
 
12251.0%
 
2720.3%
 
3570.2%
 
51< 0.1%
 
ValueCountFrequency (%) 
02307798.5%
 
12251.0%
 
2720.3%
 
3570.2%
 
51< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
3570.2%
 
2720.3%
 
12251.0%
 
02307798.5%
 

prebuy_i_cnt_m6_d99
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07344656879
Minimum0
Maximum12
Zeros22467
Zeros (%)95.9%
Memory size183.1 KiB
2021-01-21T23:27:13.587034image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.422500935
Coefficient of variation (CV)5.752493845
Kurtosis94.65830568
Mean0.07344656879
Median Absolute Deviation (MAD)0
Skewness8.185691086
Sum1721
Variance0.17850704
MonotocityNot monotonic
2021-01-21T23:27:13.684773image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02246795.9%
 
15122.2%
 
22911.2%
 
4760.3%
 
3640.3%
 
5140.1%
 
73< 0.1%
 
82< 0.1%
 
62< 0.1%
 
121< 0.1%
 
ValueCountFrequency (%) 
02246795.9%
 
15122.2%
 
22911.2%
 
3640.3%
 
4760.3%
 
ValueCountFrequency (%) 
121< 0.1%
 
82< 0.1%
 
73< 0.1%
 
62< 0.1%
 
5140.1%
 

prebuy_i_cnt_y1_d3
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02065551383
Minimum0
Maximum10
Zeros23113
Zeros (%)98.6%
Memory size183.1 KiB
2021-01-21T23:27:13.773535image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2182414391
Coefficient of variation (CV)10.56577149
Kurtosis518.976521
Mean0.02065551383
Median Absolute Deviation (MAD)0
Skewness18.52956213
Sum484
Variance0.04762932574
MonotocityNot monotonic
2021-01-21T23:27:13.860303image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02311398.6%
 
12160.9%
 
2810.3%
 
46< 0.1%
 
36< 0.1%
 
54< 0.1%
 
63< 0.1%
 
82< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
02311398.6%
 
12160.9%
 
2810.3%
 
36< 0.1%
 
46< 0.1%
 
ValueCountFrequency (%) 
101< 0.1%
 
82< 0.1%
 
63< 0.1%
 
54< 0.1%
 
46< 0.1%
 

prebuy_i_cnt_y1_d7
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01937521338
Minimum0
Maximum15
Zeros23142
Zeros (%)98.8%
Memory size183.1 KiB
2021-01-21T23:27:13.943081image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2185541953
Coefficient of variation (CV)11.2800923
Kurtosis1108.817046
Mean0.01937521338
Median Absolute Deviation (MAD)0
Skewness24.01110662
Sum454
Variance0.04776593629
MonotocityNot monotonic
2021-01-21T23:27:14.019876image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02314298.8%
 
11900.8%
 
2700.3%
 
3160.1%
 
59< 0.1%
 
44< 0.1%
 
151< 0.1%
 
ValueCountFrequency (%) 
02314298.8%
 
11900.8%
 
2700.3%
 
3160.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
151< 0.1%
 
59< 0.1%
 
44< 0.1%
 
3160.1%
 
2700.3%
 

prebuy_i_cnt_y1_d14
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03435472858
Minimum0
Maximum19
Zeros22901
Zeros (%)97.7%
Memory size183.1 KiB
2021-01-21T23:27:14.127589image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.299469923
Coefficient of variation (CV)8.71699284
Kurtosis880.8675056
Mean0.03435472858
Median Absolute Deviation (MAD)0
Skewness21.24398783
Sum805
Variance0.0896822348
MonotocityNot monotonic
2021-01-21T23:27:14.229317image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02290197.7%
 
13811.6%
 
21020.4%
 
3190.1%
 
4130.1%
 
58< 0.1%
 
83< 0.1%
 
63< 0.1%
 
101< 0.1%
 
191< 0.1%
 
ValueCountFrequency (%) 
02290197.7%
 
13811.6%
 
21020.4%
 
3190.1%
 
4130.1%
 
ValueCountFrequency (%) 
191< 0.1%
 
101< 0.1%
 
83< 0.1%
 
63< 0.1%
 
58< 0.1%
 

prebuy_i_cnt_y1_d30
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06939228406
Minimum0
Maximum15
Zeros22696
Zeros (%)96.9%
Memory size183.1 KiB
2021-01-21T23:27:14.316085image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6391268473
Coefficient of variation (CV)9.210344579
Kurtosis394.2414166
Mean0.06939228406
Median Absolute Deviation (MAD)0
Skewness18.09868828
Sum1626
Variance0.4084831269
MonotocityNot monotonic
2021-01-21T23:27:14.409834image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02269696.9%
 
14371.9%
 
21750.7%
 
3360.2%
 
4330.1%
 
15300.1%
 
5130.1%
 
66< 0.1%
 
74< 0.1%
 
121< 0.1%
 
ValueCountFrequency (%) 
02269696.9%
 
14371.9%
 
21750.7%
 
3360.2%
 
4330.1%
 
ValueCountFrequency (%) 
15300.1%
 
121< 0.1%
 
81< 0.1%
 
74< 0.1%
 
66< 0.1%
 

prebuy_i_cnt_y1_d99
Real number (ℝ≥0)

ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24035507
Minimum0
Maximum20
Zeros21106
Zeros (%)90.1%
Memory size183.1 KiB
2021-01-21T23:27:14.519541image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9014027982
Coefficient of variation (CV)3.750296585
Kurtosis47.1822202
Mean0.24035507
Median Absolute Deviation (MAD)0
Skewness5.636613379
Sum5632
Variance0.8125270046
MonotocityNot monotonic
2021-01-21T23:27:14.620272image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
02110690.1%
 
29053.9%
 
17323.1%
 
43381.4%
 
31680.7%
 
5560.2%
 
7530.2%
 
6390.2%
 
8150.1%
 
129< 0.1%
 
Other values (5)11< 0.1%
 
ValueCountFrequency (%) 
02110690.1%
 
17323.1%
 
29053.9%
 
31680.7%
 
43381.4%
 
ValueCountFrequency (%) 
201< 0.1%
 
161< 0.1%
 
129< 0.1%
 
111< 0.1%
 
102< 0.1%
 

prebuy_i_cnt_y2_d3
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06448446569
Minimum0
Maximum12
Zeros22491
Zeros (%)96.0%
Memory size183.1 KiB
2021-01-21T23:27:14.710033image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3964958959
Coefficient of variation (CV)6.148704058
Kurtosis185.6755113
Mean0.06448446569
Median Absolute Deviation (MAD)0
Skewness10.94918644
Sum1511
Variance0.1572089954
MonotocityNot monotonic
2021-01-21T23:27:14.798795image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
02249196.0%
 
15992.6%
 
22401.0%
 
3570.2%
 
4180.1%
 
610< 0.1%
 
86< 0.1%
 
56< 0.1%
 
92< 0.1%
 
121< 0.1%
 
Other values (2)2< 0.1%
 
ValueCountFrequency (%) 
02249196.0%
 
15992.6%
 
22401.0%
 
3570.2%
 
4180.1%
 
ValueCountFrequency (%) 
121< 0.1%
 
111< 0.1%
 
101< 0.1%
 
92< 0.1%
 
86< 0.1%
 

prebuy_i_cnt_y2_d7
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06593547286
Minimum0
Maximum22
Zeros22538
Zeros (%)96.2%
Memory size183.1 KiB
2021-01-21T23:27:14.881573image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.433397769
Coefficient of variation (CV)6.573059238
Kurtosis403.2843431
Mean0.06593547286
Median Absolute Deviation (MAD)0
Skewness14.16664263
Sum1545
Variance0.1878336262
MonotocityNot monotonic
2021-01-21T23:27:14.960361image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02253896.2%
 
15482.3%
 
22170.9%
 
4630.3%
 
3390.2%
 
511< 0.1%
 
66< 0.1%
 
113< 0.1%
 
93< 0.1%
 
73< 0.1%
 
ValueCountFrequency (%) 
02253896.2%
 
15482.3%
 
22170.9%
 
3390.2%
 
4630.3%
 
ValueCountFrequency (%) 
221< 0.1%
 
113< 0.1%
 
93< 0.1%
 
73< 0.1%
 
66< 0.1%
 

prebuy_i_cnt_y2_d14
Real number (ℝ≥0)

ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1001194947
Minimum0
Maximum27
Zeros22168
Zeros (%)94.6%
Memory size183.1 KiB
2021-01-21T23:27:15.046134image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6273305204
Coefficient of variation (CV)6.265817883
Kurtosis464.6164178
Mean0.1001194947
Median Absolute Deviation (MAD)0
Skewness16.47918595
Sum2346
Variance0.3935435818
MonotocityNot monotonic
2021-01-21T23:27:15.148864image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
02216894.6%
 
17723.3%
 
23131.3%
 
3650.3%
 
4380.2%
 
7340.1%
 
5210.1%
 
67< 0.1%
 
143< 0.1%
 
133< 0.1%
 
Other values (5)8< 0.1%
 
ValueCountFrequency (%) 
02216894.6%
 
17723.3%
 
23131.3%
 
3650.3%
 
4380.2%
 
ValueCountFrequency (%) 
271< 0.1%
 
233< 0.1%
 
143< 0.1%
 
133< 0.1%
 
111< 0.1%
 

prebuy_i_cnt_y2_d30
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2082195288
Minimum0
Maximum28
Zeros21323
Zeros (%)91.0%
Memory size183.1 KiB
2021-01-21T23:27:15.235641image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.244287822
Coefficient of variation (CV)5.97584592
Kurtosis331.1765996
Mean0.2082195288
Median Absolute Deviation (MAD)0
Skewness16.10093907
Sum4879
Variance1.548252184
MonotocityNot monotonic
2021-01-21T23:27:15.314416image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
02132391.0%
 
110614.5%
 
26642.8%
 
31350.6%
 
41140.5%
 
5450.2%
 
28300.1%
 
6140.1%
 
8120.1%
 
118< 0.1%
 
Other values (8)260.1%
 
ValueCountFrequency (%) 
02132391.0%
 
110614.5%
 
26642.8%
 
31350.6%
 
41140.5%
 
ValueCountFrequency (%) 
28300.1%
 
191< 0.1%
 
161< 0.1%
 
153< 0.1%
 
144< 0.1%
 

prebuy_i_cnt_y2_d99
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8646722431
Minimum0
Maximum30
Zeros17156
Zeros (%)73.2%
Memory size183.1 KiB
2021-01-21T23:27:15.415147image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum30
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.984488907
Coefficient of variation (CV)2.295076456
Kurtosis41.42253074
Mean0.8646722431
Median Absolute Deviation (MAD)0
Skewness4.876745057
Sum20261
Variance3.938196222
MonotocityNot monotonic
2021-01-21T23:27:15.524853image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
01715673.2%
 
221939.4%
 
417177.3%
 
110304.4%
 
35502.3%
 
52190.9%
 
61910.8%
 
81040.4%
 
7880.4%
 
9420.2%
 
Other values (17)1420.6%
 
ValueCountFrequency (%) 
01715673.2%
 
110304.4%
 
221939.4%
 
35502.3%
 
417177.3%
 
ValueCountFrequency (%) 
301< 0.1%
 
291< 0.1%
 
281< 0.1%
 
261< 0.1%
 
258< 0.1%
 

prebuy_i_cnt_y3_d3
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1015705019
Minimum0
Maximum14
Zeros22027
Zeros (%)94.0%
Memory size183.1 KiB
2021-01-21T23:27:15.626581image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.520513522
Coefficient of variation (CV)5.124652457
Kurtosis136.6733007
Mean0.1015705019
Median Absolute Deviation (MAD)0
Skewness9.394176824
Sum2380
Variance0.2709343266
MonotocityNot monotonic
2021-01-21T23:27:15.705371image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02202794.0%
 
18563.7%
 
23771.6%
 
3840.4%
 
4290.1%
 
5200.1%
 
6160.1%
 
89< 0.1%
 
94< 0.1%
 
74< 0.1%
 
Other values (3)6< 0.1%
 
ValueCountFrequency (%) 
02202794.0%
 
18563.7%
 
23771.6%
 
3840.4%
 
4290.1%
 
ValueCountFrequency (%) 
142< 0.1%
 
112< 0.1%
 
102< 0.1%
 
94< 0.1%
 
89< 0.1%
 

prebuy_i_cnt_y3_d7
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0987538409
Minimum0
Maximum25
Zeros22107
Zeros (%)94.3%
Memory size183.1 KiB
2021-01-21T23:27:15.794133image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5452306045
Coefficient of variation (CV)5.521107833
Kurtosis333.9058431
Mean0.0987538409
Median Absolute Deviation (MAD)0
Skewness13.06338678
Sum2314
Variance0.2972764121
MonotocityNot monotonic
2021-01-21T23:27:15.887883image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
02210794.3%
 
17933.4%
 
23531.5%
 
3690.3%
 
4610.3%
 
6180.1%
 
5140.1%
 
76< 0.1%
 
153< 0.1%
 
112< 0.1%
 
Other values (4)6< 0.1%
 
ValueCountFrequency (%) 
02210794.3%
 
17933.4%
 
23531.5%
 
3690.3%
 
4610.3%
 
ValueCountFrequency (%) 
251< 0.1%
 
153< 0.1%
 
141< 0.1%
 
112< 0.1%
 
102< 0.1%
 

prebuy_i_cnt_y3_d14
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1565380676
Minimum0
Maximum30
Zeros21559
Zeros (%)92.0%
Memory size183.1 KiB
2021-01-21T23:27:15.990608image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8115459962
Coefficient of variation (CV)5.184336364
Kurtosis315.3654012
Mean0.1565380676
Median Absolute Deviation (MAD)0
Skewness13.54875502
Sum3668
Variance0.658606904
MonotocityNot monotonic
2021-01-21T23:27:16.092897image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
02155992.0%
 
110664.5%
 
25242.2%
 
31080.5%
 
4540.2%
 
10350.1%
 
5350.1%
 
6230.1%
 
79< 0.1%
 
146< 0.1%
 
Other values (6)130.1%
 
ValueCountFrequency (%) 
02155992.0%
 
110664.5%
 
25242.2%
 
31080.5%
 
4540.2%
 
ValueCountFrequency (%) 
301< 0.1%
 
273< 0.1%
 
211< 0.1%
 
146< 0.1%
 
112< 0.1%
 

prebuy_i_cnt_y3_d30
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3165329464
Minimum0
Maximum37
Zeros20330
Zeros (%)86.8%
Memory size183.1 KiB
2021-01-21T23:27:16.192591image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.63691667
Coefficient of variation (CV)5.171394286
Kurtosis335.4875257
Mean0.3165329464
Median Absolute Deviation (MAD)0
Skewness16.13611478
Sum7417
Variance2.679496186
MonotocityNot monotonic
2021-01-21T23:27:16.297311image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
02033086.8%
 
114516.2%
 
210484.5%
 
32261.0%
 
41600.7%
 
5600.3%
 
6470.2%
 
37300.1%
 
8220.1%
 
7120.1%
 
Other values (10)460.2%
 
ValueCountFrequency (%) 
02033086.8%
 
114516.2%
 
210484.5%
 
32261.0%
 
41600.7%
 
ValueCountFrequency (%) 
37300.1%
 
253< 0.1%
 
231< 0.1%
 
201< 0.1%
 
181< 0.1%
 

prebuy_i_cnt_y3_d99
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.199385456
Minimum0
Maximum48
Zeros15666
Zeros (%)66.9%
Memory size183.1 KiB
2021-01-21T23:27:16.406022image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum48
Range48
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.570191459
Coefficient of variation (CV)2.14292365
Kurtosis56.01301542
Mean1.199385456
Median Absolute Deviation (MAD)0
Skewness5.593204945
Sum28104
Variance6.605884134
MonotocityNot monotonic
2021-01-21T23:27:16.537668image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
01566666.9%
 
2242010.3%
 
422359.5%
 
110684.6%
 
37563.2%
 
63061.3%
 
52961.3%
 
81950.8%
 
71430.6%
 
9760.3%
 
Other values (23)2711.2%
 
ValueCountFrequency (%) 
01566666.9%
 
110684.6%
 
2242010.3%
 
37563.2%
 
422359.5%
 
ValueCountFrequency (%) 
481< 0.1%
 
421< 0.1%
 
411< 0.1%
 
34300.1%
 
322< 0.1%
 

pref_orig_m3_1
Categorical

HIGH CARDINALITY

Distinct63
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22658 
PVG
 
354
SYD
 
117
SHA
 
72
JFK
 
51
Other values (58)
 
180
ValueCountFrequency (%) 
02265896.7%
 
PVG3541.5%
 
SYD1170.5%
 
SHA720.3%
 
JFK510.2%
 
LAX240.1%
 
PEK160.1%
 
TSA11< 0.1%
 
XIY10< 0.1%
 
TAO10< 0.1%
 
Other values (53)1090.5%
 
2021-01-21T23:27:16.688266image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)0.1%

pref_orig_m3_2
Categorical

HIGH CARDINALITY

Distinct84
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22658 
PVG
 
190
SYD
 
130
JFK
 
101
LAX
 
58
Other values (79)
 
295
ValueCountFrequency (%) 
02265896.7%
 
PVG1900.8%
 
SYD1300.6%
 
JFK1010.4%
 
LAX580.2%
 
SHA390.2%
 
PEK270.1%
 
ICN170.1%
 
CKG11< 0.1%
 
BKK10< 0.1%
 
Other values (74)1910.8%
 
2021-01-21T23:27:16.847839image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique28 ?
Unique (%)0.1%

pref_orig_m3_3
Categorical

HIGH CARDINALITY

Distinct68
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22893 
PVG
 
141
SYD
 
79
JFK
 
60
KIX
 
34
Other values (63)
 
225
ValueCountFrequency (%) 
02289397.7%
 
PVG1410.6%
 
SYD790.3%
 
JFK600.3%
 
KIX340.1%
 
LAX320.1%
 
SHA210.1%
 
PEK170.1%
 
ICN8< 0.1%
 
HKG7< 0.1%
 
Other values (58)1400.6%
 
2021-01-21T23:27:16.981485image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)0.1%

pref_orig_m3_4
Categorical

HIGH CARDINALITY

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22998 
PVG
 
124
SYD
 
75
JFK
 
54
LAX
 
30
Other values (51)
 
151
ValueCountFrequency (%) 
02299898.1%
 
PVG1240.5%
 
SYD750.3%
 
JFK540.2%
 
LAX300.1%
 
CDG290.1%
 
SHA150.1%
 
PEK120.1%
 
SZX6< 0.1%
 
CTU5< 0.1%
 
Other values (46)840.4%
 
2021-01-21T23:27:17.143049image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_orig_m3_5
Categorical

HIGH CARDINALITY

Distinct51
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23057 
PVG
 
123
SYD
 
75
JFK
 
50
LAX
 
25
Other values (46)
 
102
ValueCountFrequency (%) 
02305798.4%
 
PVG1230.5%
 
SYD750.3%
 
JFK500.2%
 
LAX250.1%
 
SHA150.1%
 
PEK120.1%
 
KWE5< 0.1%
 
CAN5< 0.1%
 
CTS4< 0.1%
 
Other values (41)610.3%
 
2021-01-21T23:27:17.284671image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique28 ?
Unique (%)0.1%

pref_orig_m6_1
Categorical

HIGH CARDINALITY

Distinct73
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22164 
PVG
 
574
SYD
 
205
SHA
 
99
JFK
 
96
Other values (68)
 
294
ValueCountFrequency (%) 
02216494.6%
 
PVG5742.4%
 
SYD2050.9%
 
SHA990.4%
 
JFK960.4%
 
LAX290.1%
 
PEK240.1%
 
TSA170.1%
 
WUH160.1%
 
SZX150.1%
 
Other values (63)1930.8%
 
2021-01-21T23:27:17.415322image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique30 ?
Unique (%)0.1%

pref_orig_m6_2
Categorical

HIGH CARDINALITY

Distinct100
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22164 
PVG
 
332
JFK
 
187
SYD
 
182
LAX
 
98
Other values (95)
 
469
ValueCountFrequency (%) 
02216494.6%
 
PVG3321.4%
 
JFK1870.8%
 
SYD1820.8%
 
LAX980.4%
 
SHA630.3%
 
PEK520.2%
 
ICN240.1%
 
KMG210.1%
 
BKK150.1%
 
Other values (90)2941.3%
 
2021-01-21T23:27:17.547967image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique31 ?
Unique (%)0.1%

pref_orig_m6_3
Categorical

HIGH CARDINALITY

Distinct89
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22576 
PVG
 
191
JFK
 
123
SYD
 
106
LAX
 
53
Other values (84)
 
383
ValueCountFrequency (%) 
02257696.3%
 
PVG1910.8%
 
JFK1230.5%
 
SYD1060.5%
 
LAX530.2%
 
KIX350.1%
 
PEK340.1%
 
SHA340.1%
 
KMG130.1%
 
XIY120.1%
 
Other values (79)2551.1%
 
2021-01-21T23:27:17.687594image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_orig_m6_4
Categorical

HIGH CARDINALITY

Distinct80
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22771 
PVG
 
164
JFK
 
106
SYD
 
100
LAX
 
32
Other values (75)
 
259
ValueCountFrequency (%) 
02277197.2%
 
PVG1640.7%
 
JFK1060.5%
 
SYD1000.4%
 
LAX320.1%
 
CNX290.1%
 
PEK210.1%
 
SHA210.1%
 
KMG130.1%
 
ICN11< 0.1%
 
Other values (70)1640.7%
 
2021-01-21T23:27:17.867115image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique32 ?
Unique (%)0.1%

pref_orig_m6_5
Categorical

HIGH CARDINALITY

Distinct67
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22850 
PVG
 
159
SYD
 
97
JFK
 
93
LAX
 
30
Other values (62)
 
203
ValueCountFrequency (%) 
02285097.5%
 
PVG1590.7%
 
SYD970.4%
 
JFK930.4%
 
LAX300.1%
 
CDG290.1%
 
PEK210.1%
 
SHA150.1%
 
WUH8< 0.1%
 
KMG7< 0.1%
 
Other values (57)1230.5%
 
2021-01-21T23:27:18.031676image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)0.1%

pref_orig_y1_1
Categorical

HIGH CARDINALITY

Distinct80
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20870 
PVG
 
1444
SYD
 
428
SHA
 
130
JFK
 
101
Other values (75)
 
459
ValueCountFrequency (%) 
02087089.1%
 
PVG14446.2%
 
SYD4281.8%
 
SHA1300.6%
 
JFK1010.4%
 
PEK370.2%
 
LAX330.1%
 
TAO270.1%
 
TSA270.1%
 
XIY230.1%
 
Other values (70)3121.3%
 
2021-01-21T23:27:18.202219image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)0.1%

pref_orig_y1_2
Categorical

HIGH CARDINALITY

Distinct116
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20870 
PVG
 
648
JFK
 
412
SYD
 
309
LAX
 
239
Other values (111)
 
954
ValueCountFrequency (%) 
02087089.1%
 
PVG6482.8%
 
JFK4121.8%
 
SYD3091.3%
 
LAX2391.0%
 
SHA1020.4%
 
ICN650.3%
 
PEK590.3%
 
MNL370.2%
 
KMG310.1%
 
Other values (106)6602.8%
 
2021-01-21T23:27:18.356821image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_orig_y1_3
Categorical

HIGH CARDINALITY

Distinct118
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21808 
PVG
 
283
JFK
 
224
SYD
 
161
LAX
 
140
Other values (113)
 
816
ValueCountFrequency (%) 
02180893.1%
 
PVG2831.2%
 
JFK2241.0%
 
SYD1610.7%
 
LAX1400.6%
 
SHA740.3%
 
PEK740.3%
 
CDG520.2%
 
BKK360.2%
 
HKG270.1%
 
Other values (108)5532.4%
 
2021-01-21T23:27:18.527964image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique33 ?
Unique (%)0.1%

pref_orig_y1_4
Categorical

HIGH CARDINALITY

Distinct94
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22424 
PVG
 
221
SYD
 
120
JFK
 
100
LAX
 
60
Other values (89)
 
507
ValueCountFrequency (%) 
02242495.7%
 
PVG2210.9%
 
SYD1200.5%
 
JFK1000.4%
 
LAX600.3%
 
SHA450.2%
 
PEK310.1%
 
MLE290.1%
 
HKG220.1%
 
ICN220.1%
 
Other values (84)3581.5%
 
2021-01-21T23:27:18.712471image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26 ?
Unique (%)0.1%

pref_orig_y1_5
Categorical

HIGH CARDINALITY

Distinct87
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22593 
PVG
 
204
SYD
 
117
JFK
 
86
KIX
 
35
Other values (82)
 
397
ValueCountFrequency (%) 
02259396.4%
 
PVG2040.9%
 
SYD1170.5%
 
JFK860.4%
 
KIX350.1%
 
LAX310.1%
 
PEK300.1%
 
SHA220.1%
 
KMG160.1%
 
SZX140.1%
 
Other values (77)2841.2%
 
2021-01-21T23:27:18.867056image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26 ?
Unique (%)0.1%

pref_orig_y2_1
Categorical

HIGH CARDINALITY

Distinct79
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17007 
PVG
4653 
SYD
 
849
SHA
 
195
JFK
 
162
Other values (74)
 
566
ValueCountFrequency (%) 
01700772.6%
 
PVG465319.9%
 
SYD8493.6%
 
SHA1950.8%
 
JFK1620.7%
 
LAX690.3%
 
XIY410.2%
 
WUH390.2%
 
TSA340.1%
 
TAO300.1%
 
Other values (69)3531.5%
 
2021-01-21T23:27:19.028645image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)0.1%

pref_orig_y2_2
Categorical

HIGH CARDINALITY

Distinct131
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17007 
JFK
 
1451
PVG
 
1243
LAX
 
1163
SYD
 
775
Other values (126)
1793 
ValueCountFrequency (%) 
01700772.6%
 
JFK14516.2%
 
PVG12435.3%
 
LAX11635.0%
 
SYD7753.3%
 
SHA1740.7%
 
SIN1000.4%
 
MNL930.4%
 
PEK910.4%
 
PUS610.3%
 
Other values (121)12745.4%
 
2021-01-21T23:27:19.196197image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique31 ?
Unique (%)0.1%

pref_orig_y2_3
Categorical

HIGH CARDINALITY

Distinct134
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19138 
JFK
 
650
LAX
 
540
ICN
 
336
PVG
 
327
Other values (129)
2441 
ValueCountFrequency (%) 
01913881.7%
 
JFK6502.8%
 
LAX5402.3%
 
ICN3361.4%
 
PVG3271.4%
 
BKK3051.3%
 
SYD2080.9%
 
SHA1630.7%
 
PEK1220.5%
 
HKG910.4%
 
Other values (124)15526.6%
 
2021-01-21T23:27:19.374182image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique20 ?
Unique (%)0.1%

pref_orig_y2_4
Categorical

HIGH CARDINALITY

Distinct120
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21866 
PVG
 
192
JFK
 
188
LAX
 
126
SHA
 
114
Other values (115)
 
946
ValueCountFrequency (%) 
02186693.3%
 
PVG1920.8%
 
JFK1880.8%
 
LAX1260.5%
 
SHA1140.5%
 
SYD1000.4%
 
PEK750.3%
 
ICN460.2%
 
HKG410.2%
 
KMG360.2%
 
Other values (110)6482.8%
 
2021-01-21T23:27:19.551708image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_orig_y2_5
Categorical

HIGH CARDINALITY

Distinct102
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22423 
PVG
 
163
JFK
 
117
SYD
 
78
LAX
 
66
Other values (97)
 
585
ValueCountFrequency (%) 
02242395.7%
 
PVG1630.7%
 
JFK1170.5%
 
SYD780.3%
 
LAX660.3%
 
PEK460.2%
 
SIN410.2%
 
SHA380.2%
 
HKG290.1%
 
ICN230.1%
 
Other values (92)4081.7%
 
2021-01-21T23:27:19.746704image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_orig_y3_1
Categorical

HIGH CARDINALITY

Distinct73
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15619 
PVG
5974 
SYD
 
883
SHA
 
211
JFK
 
191
Other values (68)
 
554
ValueCountFrequency (%) 
01561966.7%
 
PVG597425.5%
 
SYD8833.8%
 
SHA2110.9%
 
JFK1910.8%
 
LAX720.3%
 
WUH380.2%
 
XIY350.1%
 
TSA350.1%
 
TPE320.1%
 
Other values (63)3421.5%
 
2021-01-21T23:27:19.946885image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique21 ?
Unique (%)0.1%

pref_orig_y3_2
Categorical

HIGH CARDINALITY

Distinct130
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15619 
JFK
1771 
LAX
 
1545
PVG
 
1325
SYD
 
822
Other values (125)
2350 
ValueCountFrequency (%) 
01561966.7%
 
JFK17717.6%
 
LAX15456.6%
 
PVG13255.7%
 
SYD8223.5%
 
SHA1910.8%
 
SIN1580.7%
 
MNL1500.6%
 
PEK1200.5%
 
BKK910.4%
 
Other values (120)16407.0%
 
2021-01-21T23:27:20.124410image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_orig_y3_3
Categorical

HIGH CARDINALITY

Distinct141
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
18050 
JFK
 
810
LAX
 
756
BKK
 
422
ICN
 
396
Other values (136)
2998 
ValueCountFrequency (%) 
01805077.0%
 
JFK8103.5%
 
LAX7563.2%
 
BKK4221.8%
 
ICN3961.7%
 
PVG3091.3%
 
SHA2311.0%
 
SYD2040.9%
 
PEK1350.6%
 
HKG1200.5%
 
Other values (131)19998.5%
 
2021-01-21T23:27:20.307945image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)0.1%

pref_orig_y3_4
Categorical

HIGH CARDINALITY

Distinct132
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21527 
JFK
 
245
LAX
 
164
PVG
 
145
SHA
 
140
Other values (127)
 
1211
ValueCountFrequency (%) 
02152791.9%
 
JFK2451.0%
 
LAX1640.7%
 
PVG1450.6%
 
SHA1400.6%
 
PEK1100.5%
 
SYD780.3%
 
HKG630.3%
 
KMG580.2%
 
ICN530.2%
 
Other values (122)8493.6%
 
2021-01-21T23:27:20.466521image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_orig_y3_5
Categorical

HIGH CARDINALITY

Distinct108
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22323 
JFK
 
130
PVG
 
115
LAX
 
72
PEK
 
59
Other values (103)
 
733
ValueCountFrequency (%) 
02232395.3%
 
JFK1300.6%
 
PVG1150.5%
 
LAX720.3%
 
PEK590.3%
 
SHA560.2%
 
SYD560.2%
 
HKG390.2%
 
KMG360.2%
 
YVR300.1%
 
Other values (98)5162.2%
 
2021-01-21T23:27:20.613153image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_line_m3_1
Categorical

HIGH CARDINALITY

Distinct176
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22658 
SYD-PVG
 
158
PVG-SYD
 
70
JFK-PVG
 
62
PVG-JFK
 
55
Other values (171)
 
429
ValueCountFrequency (%) 
02265896.7%
 
SYD-PVG1580.7%
 
PVG-SYD700.3%
 
JFK-PVG620.3%
 
PVG-JFK550.2%
 
LAX-PVG340.1%
 
PVG-LAX340.1%
 
SHA-PEK170.1%
 
PVG-BKK160.1%
 
PVG-ICN140.1%
 
Other values (166)3141.3%
 
2021-01-21T23:27:20.765745image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique93 ?
Unique (%)0.4%

pref_line_m3_2
Categorical

HIGH CARDINALITY

Distinct195
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22658 
PVG-JFK
 
90
PVG-SYD
 
90
SYD-PVG
 
63
PVG-LAX
 
49
Other values (190)
 
482
ValueCountFrequency (%) 
02265896.7%
 
PVG-JFK900.4%
 
PVG-SYD900.4%
 
SYD-PVG630.3%
 
PVG-LAX490.2%
 
JFK-PVG360.2%
 
KIX-PVG350.1%
 
LAX-PVG290.1%
 
PEK-SHA160.1%
 
SHA-PEK140.1%
 
Other values (185)3521.5%
 
2021-01-21T23:27:20.916342image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique109 ?
Unique (%)0.5%

pref_line_m3_3
Categorical

HIGH CARDINALITY

Distinct155
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22872 
PVG-SYD
 
79
SYD-PVG
 
62
PVG-JFK
 
57
CDG-PVG
 
30
Other values (150)
 
332
ValueCountFrequency (%) 
02287297.6%
 
PVG-SYD790.3%
 
SYD-PVG620.3%
 
PVG-JFK570.2%
 
CDG-PVG300.1%
 
PVG-LAX290.1%
 
JFK-PVG280.1%
 
LAX-PVG120.1%
 
PVG-CKG10< 0.1%
 
SHA-PEK10< 0.1%
 
Other values (145)2431.0%
 
2021-01-21T23:27:21.066940image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique92 ?
Unique (%)0.4%

pref_line_m3_4
Categorical

HIGH CARDINALITY

Distinct140
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22941 
PVG-SYD
 
68
SYD-PVG
 
62
PVG-JFK
 
61
PVG-KIX
 
31
Other values (135)
 
269
ValueCountFrequency (%) 
02294197.9%
 
PVG-SYD680.3%
 
SYD-PVG620.3%
 
PVG-JFK610.3%
 
PVG-KIX310.1%
 
PVG-LAX250.1%
 
JFK-PVG230.1%
 
PEK-SHA11< 0.1%
 
SHA-PEK10< 0.1%
 
LAX-PVG10< 0.1%
 
Other values (130)1900.8%
 
2021-01-21T23:27:21.219532image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique94 ?
Unique (%)0.4%

pref_line_m3_5
Categorical

HIGH CARDINALITY

Distinct108
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23010 
PVG-SYD
 
92
SYD-PVG
 
62
PVG-JFK
 
52
JFK-PVG
 
23
Other values (103)
 
193
ValueCountFrequency (%) 
02301098.2%
 
PVG-SYD920.4%
 
SYD-PVG620.3%
 
PVG-JFK520.2%
 
JFK-PVG230.1%
 
PVG-LAX230.1%
 
LAX-PVG130.1%
 
PEK-SHA8< 0.1%
 
SHA-PEK8< 0.1%
 
KMG-SYD5< 0.1%
 
Other values (98)1360.6%
 
2021-01-21T23:27:21.361954image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique73 ?
Unique (%)0.3%

pref_line_m6_1
Categorical

HIGH CARDINALITY

Distinct219
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22164 
SYD-PVG
 
229
JFK-PVG
 
135
PVG-JFK
 
111
PVG-SYD
 
107
Other values (214)
 
686
ValueCountFrequency (%) 
02216494.6%
 
SYD-PVG2291.0%
 
JFK-PVG1350.6%
 
PVG-JFK1110.5%
 
PVG-SYD1070.5%
 
LAX-PVG720.3%
 
PVG-LAX510.2%
 
SHA-PEK240.1%
 
PVG-BKK220.1%
 
PVG-ICN200.1%
 
Other values (209)4972.1%
 
2021-01-21T23:27:21.503575image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique105 ?
Unique (%)0.4%

pref_line_m6_2
Categorical

HIGH CARDINALITY

Distinct269
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22164 
PVG-SYD
 
181
PVG-JFK
 
162
PVG-LAX
 
90
JFK-PVG
 
88
Other values (264)
 
747
ValueCountFrequency (%) 
02216494.6%
 
PVG-SYD1810.8%
 
PVG-JFK1620.7%
 
PVG-LAX900.4%
 
JFK-PVG880.4%
 
SYD-PVG760.3%
 
LAX-PVG330.1%
 
BKK-PVG200.1%
 
PVG-ICN190.1%
 
SHA-PEK190.1%
 
Other values (259)5802.5%
 
2021-01-21T23:27:21.655170image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique132 ?
Unique (%)0.6%

pref_line_m6_3
Categorical

HIGH CARDINALITY

Distinct224
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22546 
PVG-JFK
 
115
PVG-SYD
 
114
SYD-PVG
 
67
JFK-PVG
 
53
Other values (219)
 
537
ValueCountFrequency (%) 
02254696.2%
 
PVG-JFK1150.5%
 
PVG-SYD1140.5%
 
SYD-PVG670.3%
 
JFK-PVG530.2%
 
PVG-LAX380.2%
 
CNX-PVG300.1%
 
LAX-PVG180.1%
 
PVG-CKG10< 0.1%
 
SHA-PEK10< 0.1%
 
Other values (214)4311.8%
 
2021-01-21T23:27:21.802775image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique115 ?
Unique (%)0.5%

pref_line_m6_4
Categorical

HIGH CARDINALITY

Distinct198
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22661 
PVG-JFK
 
115
PVG-SYD
 
99
SYD-PVG
 
67
JFK-PVG
 
42
Other values (193)
 
448
ValueCountFrequency (%) 
02266196.7%
 
PVG-JFK1150.5%
 
PVG-SYD990.4%
 
SYD-PVG670.3%
 
JFK-PVG420.2%
 
KIX-PVG390.2%
 
PVG-LAX300.1%
 
PEK-SHA120.1%
 
ICN-PVG11< 0.1%
 
SHA-PEK10< 0.1%
 
Other values (188)3461.5%
 
2021-01-21T23:27:21.947389image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique105 ?
Unique (%)0.4%

pref_line_m6_5
Categorical

HIGH CARDINALITY

Distinct161
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22803 
PVG-JFK
 
97
PVG-SYD
 
85
SYD-PVG
 
67
JFK-PVG
 
42
Other values (156)
 
338
ValueCountFrequency (%) 
02280397.3%
 
PVG-JFK970.4%
 
PVG-SYD850.4%
 
SYD-PVG670.3%
 
JFK-PVG420.2%
 
CDG-PVG300.1%
 
PVG-LAX250.1%
 
ICN-PVG11< 0.1%
 
SHA-PEK9< 0.1%
 
PVG-TSA8< 0.1%
 
Other values (151)2551.1%
 
2021-01-21T23:27:22.107468image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique91 ?
Unique (%)0.4%

pref_line_y1_1
Categorical

HIGH CARDINALITY

Distinct282
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20870 
SYD-PVG
 
477
JFK-PVG
 
425
LAX-PVG
 
245
PVG-SYD
 
187
Other values (277)
 
1228
ValueCountFrequency (%) 
02087089.1%
 
SYD-PVG4772.0%
 
JFK-PVG4251.8%
 
LAX-PVG2451.0%
 
PVG-SYD1870.8%
 
PVG-JFK1430.6%
 
PVG-LAX760.3%
 
PVG-BKK530.2%
 
PVG-ICN510.2%
 
SIN-PVG370.2%
 
Other values (272)8683.7%
 
2021-01-21T23:27:22.249089image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique132 ?
Unique (%)0.6%

pref_line_y1_2
Categorical

HIGH CARDINALITY

Distinct334
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20870 
PVG-SYD
 
356
PVG-JFK
 
334
PVG-LAX
 
218
JFK-PVG
 
206
Other values (329)
 
1448
ValueCountFrequency (%) 
02087089.1%
 
PVG-SYD3561.5%
 
PVG-JFK3341.4%
 
PVG-LAX2180.9%
 
JFK-PVG2060.9%
 
LAX-PVG1420.6%
 
SYD-PVG1250.5%
 
PVG-ICN380.2%
 
PVG-HKG310.1%
 
PEK-SHA280.1%
 
Other values (324)10844.6%
 
2021-01-21T23:27:22.390711image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique129 ?
Unique (%)0.6%

pref_line_y1_3
Categorical

HIGH CARDINALITY

Distinct306
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21751 
PVG-SYD
 
179
PVG-JFK
 
176
PVG-LAX
 
129
JFK-PVG
 
108
Other values (301)
 
1089
ValueCountFrequency (%) 
02175192.8%
 
PVG-SYD1790.8%
 
PVG-JFK1760.8%
 
PVG-LAX1290.6%
 
JFK-PVG1080.5%
 
SYD-PVG790.3%
 
LAX-PVG380.2%
 
CDG-PVG300.1%
 
PVG-TSN210.1%
 
WNZ-PVG190.1%
 
Other values (296)9023.8%
 
2021-01-21T23:27:22.533839image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique133 ?
Unique (%)0.6%

pref_line_y1_4
Categorical

HIGH CARDINALITY

Distinct288
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21961 
PVG-JFK
 
164
PVG-SYD
 
157
JFK-PVG
 
89
SYD-PVG
 
75
Other values (283)
 
986
ValueCountFrequency (%) 
02196193.7%
 
PVG-JFK1640.7%
 
PVG-SYD1570.7%
 
JFK-PVG890.4%
 
SYD-PVG750.3%
 
PVG-CDG430.2%
 
PVG-LAX360.2%
 
BKK-PVG300.1%
 
LAX-PVG300.1%
 
ICN-PVG280.1%
 
Other values (278)8193.5%
 
2021-01-21T23:27:22.674463image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique131 ?
Unique (%)0.6%

pref_line_y1_5
Categorical

HIGH CARDINALITY

Distinct242
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22470 
PVG-SYD
 
119
PVG-JFK
 
92
JFK-PVG
 
72
SYD-PVG
 
70
Other values (237)
 
609
ValueCountFrequency (%) 
02247095.9%
 
PVG-SYD1190.5%
 
PVG-JFK920.4%
 
JFK-PVG720.3%
 
SYD-PVG700.3%
 
PVG-LAX350.1%
 
CNX-PVG300.1%
 
LAX-PVG190.1%
 
SHA-PEK140.1%
 
PVG-CDG120.1%
 
Other values (232)4992.1%
 
2021-01-21T23:27:22.832042image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique126 ?
Unique (%)0.5%

pref_line_y2_1
Categorical

HIGH CARDINALITY

Distinct322
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17007 
JFK-PVG
 
1214
SYD-PVG
 
1182
LAX-PVG
 
764
PVG-BKK
 
318
Other values (317)
2947 
ValueCountFrequency (%) 
01700772.6%
 
JFK-PVG12145.2%
 
SYD-PVG11825.0%
 
LAX-PVG7643.3%
 
PVG-BKK3181.4%
 
PVG-JFK3071.3%
 
PVG-LAX3021.3%
 
PVG-SYD3001.3%
 
PVG-ICN2971.3%
 
SIN-PVG1170.5%
 
Other values (312)16246.9%
 
2021-01-21T23:27:22.977652image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique138 ?
Unique (%)0.6%

pref_line_y2_2
Categorical

HIGH CARDINALITY

Distinct377
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17007 
PVG-JFK
 
945
PVG-SYD
 
757
PVG-LAX
 
744
JFK-PVG
 
737
Other values (372)
3242 
ValueCountFrequency (%) 
01700772.6%
 
PVG-JFK9454.0%
 
PVG-SYD7573.2%
 
PVG-LAX7443.2%
 
JFK-PVG7373.1%
 
LAX-PVG7083.0%
 
SYD-PVG2231.0%
 
PVG-ICN1000.4%
 
BKK-PVG960.4%
 
ICN-PVG530.2%
 
Other values (367)20628.8%
 
2021-01-21T23:27:23.140218image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique134 ?
Unique (%)0.6%

pref_line_y2_3
Categorical

HIGH CARDINALITY

Distinct411
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19001 
PVG-LAX
 
695
PVG-JFK
 
641
PVG-SYD
 
394
LAX-PVG
 
138
Other values (406)
2563 
ValueCountFrequency (%) 
01900181.1%
 
PVG-LAX6953.0%
 
PVG-JFK6412.7%
 
PVG-SYD3941.7%
 
LAX-PVG1380.6%
 
JFK-PVG1320.6%
 
SYD-PVG770.3%
 
PVG-KUL700.3%
 
HKG-PVG500.2%
 
PVG-SHE500.2%
 
Other values (401)21849.3%
 
2021-01-21T23:27:23.310940image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique150 ?
Unique (%)0.6%

pref_line_y2_4
Categorical

HIGH CARDINALITY

Distinct390
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19448 
PVG-JFK
 
491
ICN-PVG
 
340
PVG-SYD
 
328
BKK-PVG
 
286
Other values (385)
2539 
ValueCountFrequency (%) 
01944883.0%
 
PVG-JFK4912.1%
 
ICN-PVG3401.5%
 
PVG-SYD3281.4%
 
BKK-PVG2861.2%
 
PVG-LAX1290.6%
 
JFK-PVG850.4%
 
LAX-PVG810.3%
 
HKT-PVG780.3%
 
NRT-PVG740.3%
 
Other values (380)20928.9%
 
2021-01-21T23:27:23.485488image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique151 ?
Unique (%)0.6%

pref_line_y2_5
Categorical

HIGH CARDINALITY

Distinct348
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22004 
PVG-JFK
 
131
PVG-SYD
 
113
PVG-LAX
 
83
JFK-PVG
 
56
Other values (343)
 
1045
ValueCountFrequency (%) 
02200493.9%
 
PVG-JFK1310.6%
 
PVG-SYD1130.5%
 
PVG-LAX830.4%
 
JFK-PVG560.2%
 
LAX-PVG430.2%
 
SYD-PVG420.2%
 
PVG-CDG340.1%
 
PVG-HKG240.1%
 
BKK-PVG220.1%
 
Other values (338)8803.8%
 
2021-01-21T23:27:23.653041image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique164 ?
Unique (%)0.7%

pref_line_y3_1
Categorical

HIGH CARDINALITY

Distinct312
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15619 
JFK-PVG
 
1539
SYD-PVG
 
1231
LAX-PVG
 
1078
PVG-BKK
 
484
Other values (307)
3481 
ValueCountFrequency (%) 
01561966.7%
 
JFK-PVG15396.6%
 
SYD-PVG12315.3%
 
LAX-PVG10784.6%
 
PVG-BKK4842.1%
 
PVG-ICN3781.6%
 
PVG-LAX3411.5%
 
PVG-SYD3381.4%
 
PVG-JFK3291.4%
 
SIN-PVG1790.8%
 
Other values (302)19168.2%
 
2021-01-21T23:27:23.803637image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique114 ?
Unique (%)0.5%

pref_line_y3_2
Categorical

HIGH CARDINALITY

Distinct379
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15619 
PVG-JFK
 
1131
PVG-LAX
 
1028
LAX-PVG
 
1014
JFK-PVG
 
929
Other values (374)
3711 
ValueCountFrequency (%) 
01561966.7%
 
PVG-JFK11314.8%
 
PVG-LAX10284.4%
 
LAX-PVG10144.3%
 
JFK-PVG9294.0%
 
PVG-SYD7803.3%
 
SYD-PVG2831.2%
 
PVG-ICN1100.5%
 
BKK-PVG920.4%
 
PVG-HKG740.3%
 
Other values (369)237210.1%
 
2021-01-21T23:27:23.972186image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique145 ?
Unique (%)0.6%

pref_line_y3_3
Categorical

HIGH CARDINALITY

Distinct442
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17768 
PVG-LAX
 
937
PVG-JFK
 
805
PVG-SYD
 
383
LAX-PVG
 
170
Other values (437)
3369 
ValueCountFrequency (%) 
01776875.8%
 
PVG-LAX9374.0%
 
PVG-JFK8053.4%
 
PVG-SYD3831.6%
 
LAX-PVG1700.7%
 
JFK-PVG1430.6%
 
SYD-PVG880.4%
 
HKG-PVG830.4%
 
PVG-KUL810.3%
 
MNL-PVG690.3%
 
Other values (432)290512.4%
 
2021-01-21T23:27:24.143870image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique156 ?
Unique (%)0.7%

pref_line_y3_4
Categorical

HIGH CARDINALITY

Distinct435
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
18457 
PVG-JFK
 
624
ICN-PVG
 
401
BKK-PVG
 
395
PVG-SYD
 
324
Other values (430)
3231 
ValueCountFrequency (%) 
01845778.8%
 
PVG-JFK6242.7%
 
ICN-PVG4011.7%
 
BKK-PVG3951.7%
 
PVG-SYD3241.4%
 
PVG-LAX1910.8%
 
PVG-SIN1160.5%
 
HKT-PVG970.4%
 
JFK-PVG920.4%
 
LAX-PVG910.4%
 
Other values (425)264411.3%
 
2021-01-21T23:27:24.300451image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique164 ?
Unique (%)0.7%

pref_line_y3_5
Categorical

HIGH CARDINALITY

Distinct394
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21679 
PVG-JFK
 
154
PVG-LAX
 
101
PVG-SYD
 
99
LAX-PVG
 
79
Other values (389)
 
1320
ValueCountFrequency (%) 
02167992.5%
 
PVG-JFK1540.7%
 
PVG-LAX1010.4%
 
PVG-SYD990.4%
 
LAX-PVG790.3%
 
JFK-PVG370.2%
 
SYD-PVG330.1%
 
BKK-PVG260.1%
 
PVG-SIN230.1%
 
HKG-PVG220.1%
 
Other values (384)11795.0%
 
2021-01-21T23:27:24.456050image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique170 ?
Unique (%)0.7%

pref_city_m3_1
Categorical

HIGH CARDINALITY

Distinct61
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22495 
PVG
 
451
SYD
 
149
SHA
 
66
JFK
 
49
Other values (56)
 
222
ValueCountFrequency (%) 
02249596.0%
 
PVG4511.9%
 
SYD1490.6%
 
SHA660.3%
 
JFK490.2%
 
LAX270.1%
 
TSA120.1%
 
NKG11< 0.1%
 
SZX11< 0.1%
 
WUH11< 0.1%
 
Other values (51)1500.6%
 
2021-01-21T23:27:24.592698image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique18 ?
Unique (%)0.1%

pref_city_m3_2
Categorical

HIGH CARDINALITY

Distinct84
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22495 
PVG
 
287
JFK
 
126
SYD
 
121
LAX
 
75
Other values (79)
 
328
ValueCountFrequency (%) 
02249596.0%
 
PVG2871.2%
 
JFK1260.5%
 
SYD1210.5%
 
LAX750.3%
 
SHA370.2%
 
PEK160.1%
 
KMG160.1%
 
SIN160.1%
 
ICN140.1%
 
Other values (74)2291.0%
 
2021-01-21T23:27:24.749288image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique18 ?
Unique (%)0.1%

pref_city_m3_3
Categorical

HIGH CARDINALITY

Distinct68
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22804 
PVG
 
210
SYD
 
84
JFK
 
58
LAX
 
37
Other values (63)
 
239
ValueCountFrequency (%) 
02280497.3%
 
PVG2100.9%
 
SYD840.4%
 
JFK580.2%
 
LAX370.2%
 
SHA250.1%
 
ICN130.1%
 
PEK130.1%
 
HGH11< 0.1%
 
CTU11< 0.1%
 
Other values (58)1660.7%
 
2021-01-21T23:27:24.901880image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)0.1%

pref_city_m3_4
Categorical

HIGH CARDINALITY

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22927 
PVG
 
189
SYD
 
78
JFK
 
52
LAX
 
30
Other values (51)
 
156
ValueCountFrequency (%) 
02292797.8%
 
PVG1890.8%
 
SYD780.3%
 
JFK520.2%
 
LAX300.1%
 
SHA150.1%
 
HKG8< 0.1%
 
SZX7< 0.1%
 
PEK7< 0.1%
 
CTU7< 0.1%
 
Other values (46)1120.5%
 
2021-01-21T23:27:25.048489image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique16 ?
Unique (%)0.1%

pref_city_m3_5
Categorical

Distinct50
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22969 
PVG
 
189
SYD
 
78
JFK
 
47
LAX
 
27
Other values (45)
 
122
ValueCountFrequency (%) 
02296998.0%
 
PVG1890.8%
 
SYD780.3%
 
JFK470.2%
 
LAX270.1%
 
SHA130.1%
 
NKG8< 0.1%
 
CAN6< 0.1%
 
CTU5< 0.1%
 
CGO4< 0.1%
 
Other values (40)860.4%
 
2021-01-21T23:27:25.188116image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique16 ?
Unique (%)0.1%

pref_city_m6_1
Categorical

HIGH CARDINALITY

Distinct76
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21882 
PVG
 
726
SYD
 
279
SHA
 
91
JFK
 
88
Other values (71)
 
366
ValueCountFrequency (%) 
02188293.4%
 
PVG7263.1%
 
SYD2791.2%
 
SHA910.4%
 
JFK880.4%
 
LAX560.2%
 
WUH190.1%
 
XIY180.1%
 
NKG170.1%
 
SZX170.1%
 
Other values (66)2391.0%
 
2021-01-21T23:27:25.332741image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26 ?
Unique (%)0.1%

pref_city_m6_2
Categorical

HIGH CARDINALITY

Distinct103
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21882 
PVG
 
473
JFK
 
217
SYD
 
186
LAX
 
140
Other values (98)
 
534
ValueCountFrequency (%) 
02188293.4%
 
PVG4732.0%
 
JFK2170.9%
 
SYD1860.8%
 
LAX1400.6%
 
SHA620.3%
 
PEK310.1%
 
KMG290.1%
 
ICN220.1%
 
NKG220.1%
 
Other values (93)3681.6%
 
2021-01-21T23:27:25.475360image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_city_m6_3
Categorical

HIGH CARDINALITY

Distinct89
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22426 
PVG
 
268
JFK
 
133
SYD
 
127
LAX
 
83
Other values (84)
 
395
ValueCountFrequency (%) 
02242695.7%
 
PVG2681.1%
 
JFK1330.6%
 
SYD1270.5%
 
LAX830.4%
 
SHA320.1%
 
PEK250.1%
 
HKG210.1%
 
ICN140.1%
 
KMG140.1%
 
Other values (79)2891.2%
 
2021-01-21T23:27:25.609002image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_city_m6_4
Categorical

HIGH CARDINALITY

Distinct74
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22663 
PVG
 
235
SYD
 
112
JFK
 
98
LAX
 
56
Other values (69)
 
268
ValueCountFrequency (%) 
02266396.7%
 
PVG2351.0%
 
SYD1120.5%
 
JFK980.4%
 
LAX560.2%
 
SHA250.1%
 
CAN180.1%
 
KMG140.1%
 
SIN11< 0.1%
 
PEK11< 0.1%
 
Other values (64)1890.8%
 
2021-01-21T23:27:25.751621image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_city_m6_5
Categorical

HIGH CARDINALITY

Distinct64
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22753 
PVG
 
229
SYD
 
108
JFK
 
88
LAX
 
54
Other values (59)
 
200
ValueCountFrequency (%) 
02275397.1%
 
PVG2291.0%
 
SYD1080.5%
 
JFK880.4%
 
LAX540.2%
 
SHA270.1%
 
NKG11< 0.1%
 
PEK10< 0.1%
 
CAN8< 0.1%
 
KMG7< 0.1%
 
Other values (54)1370.6%
 
2021-01-21T23:27:25.901222image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique19 ?
Unique (%)0.1%

pref_city_y1_1
Categorical

HIGH CARDINALITY

Distinct92
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20327 
PVG
 
1816
SYD
 
509
SHA
 
126
JFK
 
91
Other values (87)
 
563
ValueCountFrequency (%) 
02032786.7%
 
PVG18167.8%
 
SYD5092.2%
 
SHA1260.5%
 
JFK910.4%
 
LAX410.2%
 
TSA400.2%
 
XIY350.1%
 
WUH280.1%
 
TAO240.1%
 
Other values (82)3951.7%
 
2021-01-21T23:27:26.053328image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)0.1%

pref_city_y1_2
Categorical

HIGH CARDINALITY

Distinct123
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20327 
PVG
 
830
JFK
 
512
SYD
 
342
LAX
 
325
Other values (118)
 
1096
ValueCountFrequency (%) 
02032786.7%
 
PVG8303.5%
 
JFK5122.2%
 
SYD3421.5%
 
LAX3251.4%
 
SHA1020.4%
 
ICN780.3%
 
PEK600.3%
 
NKG420.2%
 
KMG410.2%
 
Other values (113)7733.3%
 
2021-01-21T23:27:26.226863image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_city_y1_3
Categorical

HIGH CARDINALITY

Distinct119
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21501 
PVG
 
330
JFK
 
289
LAX
 
165
SYD
 
155
Other values (114)
 
992
ValueCountFrequency (%) 
02150191.8%
 
PVG3301.4%
 
JFK2891.2%
 
LAX1650.7%
 
SYD1550.7%
 
SHA870.4%
 
ICN630.3%
 
BKK440.2%
 
PEK410.2%
 
KMG400.2%
 
Other values (109)7173.1%
 
2021-01-21T23:27:26.377460image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26 ?
Unique (%)0.1%

pref_city_y1_4
Categorical

HIGH CARDINALITY

Distinct107
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22334 
PVG
 
268
SYD
 
113
JFK
 
108
SHA
 
61
Other values (102)
 
548
ValueCountFrequency (%) 
02233495.3%
 
PVG2681.1%
 
SYD1130.5%
 
JFK1080.5%
 
SHA610.3%
 
LAX440.2%
 
PEK410.2%
 
ICN350.1%
 
KMG300.1%
 
NKG220.1%
 
Other values (97)3761.6%
 
2021-01-21T23:27:26.515092image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique37 ?
Unique (%)0.2%

pref_city_y1_5
Categorical

HIGH CARDINALITY

Distinct98
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22548 
PVG
 
254
SYD
 
104
JFK
 
93
SHA
 
39
Other values (93)
 
394
ValueCountFrequency (%) 
02254896.2%
 
PVG2541.1%
 
SYD1040.4%
 
JFK930.4%
 
SHA390.2%
 
CAN250.1%
 
LAX240.1%
 
ICN210.1%
 
PEK200.1%
 
KMG150.1%
 
Other values (88)2891.2%
 
2021-01-21T23:27:26.651729image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique31 ?
Unique (%)0.1%

pref_city_y2_1
Categorical

HIGH CARDINALITY

Distinct85
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15962 
PVG
5472 
SYD
 
944
SHA
 
219
JFK
 
214
Other values (80)
 
621
ValueCountFrequency (%) 
01596268.1%
 
PVG547223.4%
 
SYD9444.0%
 
SHA2190.9%
 
JFK2140.9%
 
LAX940.4%
 
XIY470.2%
 
TPE380.2%
 
TSA370.2%
 
WUH370.2%
 
Other values (75)3681.6%
 
2021-01-21T23:27:26.804319image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)0.1%

pref_city_y2_2
Categorical

HIGH CARDINALITY

Distinct127
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15962 
JFK
1738 
PVG
 
1412
LAX
 
1335
SYD
 
933
Other values (122)
2052 
ValueCountFrequency (%) 
01596268.1%
 
JFK17387.4%
 
PVG14126.0%
 
LAX13355.7%
 
SYD9334.0%
 
SHA1910.8%
 
SIN1230.5%
 
PEK920.4%
 
PUS870.4%
 
MNL810.3%
 
Other values (117)14786.3%
 
2021-01-21T23:27:26.967882image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)0.1%

pref_city_y2_3
Categorical

HIGH CARDINALITY

Distinct141
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
18473 
JFK
 
765
LAX
 
578
PVG
 
412
ICN
 
377
Other values (136)
2827 
ValueCountFrequency (%) 
01847378.8%
 
JFK7653.3%
 
LAX5782.5%
 
PVG4121.8%
 
ICN3771.6%
 
BKK2871.2%
 
SYD2391.0%
 
SHA2040.9%
 
PEK1210.5%
 
HKG1150.5%
 
Other values (131)18617.9%
 
2021-01-21T23:27:27.122468image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_city_y2_4
Categorical

HIGH CARDINALITY

Distinct132
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21595 
PVG
 
232
JFK
 
213
LAX
 
128
SHA
 
124
Other values (127)
 
1140
ValueCountFrequency (%) 
02159592.2%
 
PVG2321.0%
 
JFK2130.9%
 
LAX1280.5%
 
SHA1240.5%
 
SYD990.4%
 
PEK750.3%
 
KMG610.3%
 
ICN560.2%
 
BKK450.2%
 
Other values (122)8043.4%
 
2021-01-21T23:27:27.283549image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique30 ?
Unique (%)0.1%

pref_city_y2_5
Categorical

HIGH CARDINALITY

Distinct107
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22306 
PVG
 
194
JFK
 
154
SYD
 
82
LAX
 
55
Other values (102)
 
641
ValueCountFrequency (%) 
02230695.2%
 
PVG1940.8%
 
JFK1540.7%
 
SYD820.3%
 
LAX550.2%
 
KMG430.2%
 
HND410.2%
 
PEK360.2%
 
SHA350.1%
 
NKG280.1%
 
Other values (97)4582.0%
 
2021-01-21T23:27:27.436789image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique21 ?
Unique (%)0.1%

pref_city_y3_1
Categorical

HIGH CARDINALITY

Distinct78
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
PVG
7169 
SYD
 
978
JFK
 
247
SHA
 
228
Other values (73)
 
634
ValueCountFrequency (%) 
01417660.5%
 
PVG716930.6%
 
SYD9784.2%
 
JFK2471.1%
 
SHA2281.0%
 
LAX930.4%
 
TSA490.2%
 
WUH490.2%
 
XIY410.2%
 
TPE390.2%
 
Other values (68)3631.5%
 
2021-01-21T23:27:27.580405image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)0.1%

pref_city_y3_2
Categorical

HIGH CARDINALITY

Distinct130
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
JFK
2207 
LAX
1820 
PVG
1500 
SYD
 
985
Other values (125)
2744 
ValueCountFrequency (%) 
01417660.5%
 
JFK22079.4%
 
LAX18207.8%
 
PVG15006.4%
 
SYD9854.2%
 
SHA2130.9%
 
SIN1860.8%
 
MNL1450.6%
 
PEK1110.5%
 
NRT1080.5%
 
Other values (120)19818.5%
 
2021-01-21T23:27:27.746983image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique18 ?
Unique (%)0.1%

pref_city_y3_3
Categorical

HIGH CARDINALITY

Distinct149
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17094 
JFK
 
981
LAX
 
842
ICN
 
448
BKK
 
441
Other values (144)
3626 
ValueCountFrequency (%) 
01709473.0%
 
JFK9814.2%
 
LAX8423.6%
 
ICN4481.9%
 
BKK4411.9%
 
PVG3671.6%
 
SHA2811.2%
 
SYD2541.1%
 
HKG1570.7%
 
PEK1530.7%
 
Other values (139)241410.3%
 
2021-01-21T23:27:27.908552image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)0.1%

pref_city_y3_4
Categorical

HIGH CARDINALITY

Distinct146
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21197 
JFK
 
256
PVG
 
195
LAX
 
168
SHA
 
156
Other values (141)
 
1460
ValueCountFrequency (%) 
02119790.5%
 
JFK2561.1%
 
PVG1950.8%
 
LAX1680.7%
 
SHA1560.7%
 
PEK990.4%
 
SYD820.3%
 
KMG770.3%
 
ICN660.3%
 
NKG650.3%
 
Other values (136)10714.6%
 
2021-01-21T23:27:28.059149image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique36 ?
Unique (%)0.2%

pref_city_y3_5
Categorical

HIGH CARDINALITY

Distinct116
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22124 
JFK
 
173
PVG
 
136
LAX
 
89
PEK
 
60
Other values (111)
 
850
ValueCountFrequency (%) 
02212494.4%
 
JFK1730.7%
 
PVG1360.6%
 
LAX890.4%
 
PEK600.3%
 
SYD580.2%
 
KMG550.2%
 
HND540.2%
 
SHA500.2%
 
BKK470.2%
 
Other values (106)5862.5%
 
2021-01-21T23:27:28.212738image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique28 ?
Unique (%)0.1%

pref_month_m3_1
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3195203141
Minimum0
Maximum12
Zeros22658
Zeros (%)96.7%
Memory size183.1 KiB
2021-01-21T23:27:28.311474image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.868914322
Coefficient of variation (CV)5.849125201
Kurtosis31.85059711
Mean0.3195203141
Median Absolute Deviation (MAD)0
Skewness5.798637088
Sum7487
Variance3.492840741
MonotocityNot monotonic
2021-01-21T23:27:28.402231image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02265896.7%
 
123731.6%
 
111520.6%
 
11260.5%
 
101160.5%
 
84< 0.1%
 
73< 0.1%
 
ValueCountFrequency (%) 
02265896.7%
 
11260.5%
 
73< 0.1%
 
84< 0.1%
 
101160.5%
 
ValueCountFrequency (%) 
123731.6%
 
111520.6%
 
101160.5%
 
84< 0.1%
 
73< 0.1%
 

pref_month_m3_2
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2768436326
Minimum0
Maximum12
Zeros22658
Zeros (%)96.7%
Memory size183.1 KiB
2021-01-21T23:27:28.484013image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.718073984
Coefficient of variation (CV)6.205936426
Kurtosis37.66805136
Mean0.2768436326
Median Absolute Deviation (MAD)0
Skewness6.269779742
Sum6487
Variance2.951778215
MonotocityNot monotonic
2021-01-21T23:27:28.573773image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02265896.7%
 
122761.2%
 
12140.9%
 
101390.6%
 
111380.6%
 
84< 0.1%
 
73< 0.1%
 
ValueCountFrequency (%) 
02265896.7%
 
12140.9%
 
73< 0.1%
 
84< 0.1%
 
101390.6%
 
ValueCountFrequency (%) 
122761.2%
 
111380.6%
 
101390.6%
 
84< 0.1%
 
73< 0.1%
 

pref_month_m3_3
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2214066234
Minimum0
Maximum12
Zeros22828
Zeros (%)97.4%
Memory size183.1 KiB
2021-01-21T23:27:28.656551image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.542165421
Coefficient of variation (CV)6.965308431
Kurtosis48.18585762
Mean0.2214066234
Median Absolute Deviation (MAD)0
Skewness7.052941383
Sum5188
Variance2.378274185
MonotocityNot monotonic
2021-01-21T23:27:28.749380image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02282897.4%
 
122231.0%
 
11540.7%
 
101150.5%
 
111050.4%
 
84< 0.1%
 
73< 0.1%
 
ValueCountFrequency (%) 
02282897.4%
 
11540.7%
 
73< 0.1%
 
84< 0.1%
 
101150.5%
 
ValueCountFrequency (%) 
122231.0%
 
111050.4%
 
101150.5%
 
84< 0.1%
 
73< 0.1%
 

pref_month_m3_4
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2094571526
Minimum0
Maximum12
Zeros22884
Zeros (%)97.7%
Memory size183.1 KiB
2021-01-21T23:27:28.831161image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.506136485
Coefficient of variation (CV)7.190666285
Kurtosis51.11027559
Mean0.2094571526
Median Absolute Deviation (MAD)0
Skewness7.257251811
Sum4908
Variance2.268447113
MonotocityNot monotonic
2021-01-21T23:27:28.919924image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02288497.7%
 
122210.9%
 
11210.5%
 
101070.5%
 
11920.4%
 
84< 0.1%
 
73< 0.1%
 
ValueCountFrequency (%) 
02288497.7%
 
11210.5%
 
73< 0.1%
 
84< 0.1%
 
101070.5%
 
ValueCountFrequency (%) 
122210.9%
 
11920.4%
 
101070.5%
 
84< 0.1%
 
73< 0.1%
 

pref_month_m3_5
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2069392284
Minimum0
Maximum12
Zeros22898
Zeros (%)97.7%
Memory size183.1 KiB
2021-01-21T23:27:29.007689image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.499257234
Coefficient of variation (CV)7.244915551
Kurtosis51.77112711
Mean0.2069392284
Median Absolute Deviation (MAD)0
Skewness7.303159781
Sum4849
Variance2.247772254
MonotocityNot monotonic
2021-01-21T23:27:29.095418image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02289897.7%
 
122210.9%
 
11120.5%
 
101020.4%
 
11920.4%
 
84< 0.1%
 
73< 0.1%
 
ValueCountFrequency (%) 
02289897.7%
 
11120.5%
 
73< 0.1%
 
84< 0.1%
 
101020.4%
 
ValueCountFrequency (%) 
122210.9%
 
11920.4%
 
101020.4%
 
84< 0.1%
 
73< 0.1%
 

pref_month_m6_1
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4893308296
Minimum0
Maximum12
Zeros22164
Zeros (%)94.6%
Memory size183.1 KiB
2021-01-21T23:27:29.182185image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.153070017
Coefficient of variation (CV)4.40002936
Kurtosis17.6916434
Mean0.4893308296
Median Absolute Deviation (MAD)0
Skewness4.361914384
Sum11466
Variance4.635710499
MonotocityNot monotonic
2021-01-21T23:27:29.275935image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02216494.6%
 
123241.4%
 
82551.1%
 
102020.9%
 
91600.7%
 
71080.5%
 
111000.4%
 
1890.4%
 
5210.1%
 
38< 0.1%
 
ValueCountFrequency (%) 
02216494.6%
 
1890.4%
 
38< 0.1%
 
41< 0.1%
 
5210.1%
 
ValueCountFrequency (%) 
123241.4%
 
111000.4%
 
102020.9%
 
91600.7%
 
82551.1%
 

pref_month_m6_2
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4472942984
Minimum0
Maximum12
Zeros22164
Zeros (%)94.6%
Memory size183.1 KiB
2021-01-21T23:27:29.361706image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.022397195
Coefficient of variation (CV)4.521401685
Kurtosis19.34691133
Mean0.4472942984
Median Absolute Deviation (MAD)0
Skewness4.535274237
Sum10481
Variance4.090090413
MonotocityNot monotonic
2021-01-21T23:27:29.461439image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02216494.6%
 
82401.0%
 
122030.9%
 
101850.8%
 
11640.7%
 
91580.7%
 
71500.6%
 
111360.6%
 
5230.1%
 
38< 0.1%
 
ValueCountFrequency (%) 
02216494.6%
 
11640.7%
 
38< 0.1%
 
41< 0.1%
 
5230.1%
 
ValueCountFrequency (%) 
122030.9%
 
111360.6%
 
101850.8%
 
91580.7%
 
82401.0%
 

pref_month_m6_3
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3428217822
Minimum0
Maximum12
Zeros22470
Zeros (%)95.9%
Memory size183.1 KiB
2021-01-21T23:27:29.549205image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.790594128
Coefficient of variation (CV)5.223104894
Kurtosis27.16963392
Mean0.3428217822
Median Absolute Deviation (MAD)0
Skewness5.304800353
Sum8033
Variance3.206227332
MonotocityNot monotonic
2021-01-21T23:27:29.648938image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02247095.9%
 
121910.8%
 
81770.8%
 
101460.6%
 
11210.5%
 
71120.5%
 
91040.4%
 
11810.3%
 
5210.1%
 
38< 0.1%
 
ValueCountFrequency (%) 
02247095.9%
 
11210.5%
 
38< 0.1%
 
41< 0.1%
 
5210.1%
 
ValueCountFrequency (%) 
121910.8%
 
11810.3%
 
101460.6%
 
91040.4%
 
81770.8%
 

pref_month_m6_4
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3136736087
Minimum0
Maximum12
Zeros22559
Zeros (%)96.3%
Memory size183.1 KiB
2021-01-21T23:27:29.743709image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.709799223
Coefficient of variation (CV)5.450886448
Kurtosis29.6639326
Mean0.3136736087
Median Absolute Deviation (MAD)0
Skewness5.532214092
Sum7350
Variance2.923413383
MonotocityNot monotonic
2021-01-21T23:27:29.834384image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02255996.3%
 
101670.7%
 
81550.7%
 
121500.6%
 
91020.4%
 
71000.4%
 
1970.4%
 
11720.3%
 
5210.1%
 
38< 0.1%
 
ValueCountFrequency (%) 
02255996.3%
 
1970.4%
 
38< 0.1%
 
41< 0.1%
 
5210.1%
 
ValueCountFrequency (%) 
121500.6%
 
11720.3%
 
101670.7%
 
91020.4%
 
81550.7%
 

pref_month_m6_5
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2867446227
Minimum0
Maximum12
Zeros22604
Zeros (%)96.5%
Memory size183.1 KiB
2021-01-21T23:27:29.922149image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.633720814
Coefficient of variation (CV)5.697476724
Kurtosis33.21061438
Mean0.2867446227
Median Absolute Deviation (MAD)0
Skewness5.830561444
Sum6719
Variance2.669043698
MonotocityNot monotonic
2021-01-21T23:27:30.013906image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02260496.5%
 
81470.6%
 
121460.6%
 
101370.6%
 
11210.5%
 
9970.4%
 
7890.4%
 
11610.3%
 
5210.1%
 
38< 0.1%
 
ValueCountFrequency (%) 
02260496.5%
 
11210.5%
 
38< 0.1%
 
41< 0.1%
 
5210.1%
 
ValueCountFrequency (%) 
121460.6%
 
11610.3%
 
101370.6%
 
9970.4%
 
81470.6%
 

pref_month_y1_1
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6476613179
Minimum0
Maximum12
Zeros20870
Zeros (%)89.1%
Memory size183.1 KiB
2021-01-21T23:27:30.115743image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.189607018
Coefficient of variation (CV)3.380790172
Kurtosis13.35538189
Mean0.6476613179
Median Absolute Deviation (MAD)0
Skewness3.713468409
Sum15176
Variance4.794378893
MonotocityNot monotonic
2021-01-21T23:27:30.222459image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02087089.1%
 
12941.3%
 
22731.2%
 
42691.1%
 
122641.1%
 
52591.1%
 
32210.9%
 
82060.9%
 
101830.8%
 
61810.8%
 
Other values (3)4121.8%
 
ValueCountFrequency (%) 
02087089.1%
 
12941.3%
 
22731.2%
 
32210.9%
 
42691.1%
 
ValueCountFrequency (%) 
122641.1%
 
111040.4%
 
101830.8%
 
91350.6%
 
82060.9%
 

pref_month_y1_2
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5906025947
Minimum0
Maximum12
Zeros20870
Zeros (%)89.1%
Memory size183.1 KiB
2021-01-21T23:27:30.321194image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.053545217
Coefficient of variation (CV)3.477033855
Kurtosis15.21872459
Mean0.5906025947
Median Absolute Deviation (MAD)0
Skewness3.92155967
Sum13839
Variance4.217047957
MonotocityNot monotonic
2021-01-21T23:27:30.425915image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02087089.1%
 
14331.8%
 
43121.3%
 
32591.1%
 
22571.1%
 
52080.9%
 
121830.8%
 
71820.8%
 
101650.7%
 
61580.7%
 
Other values (3)4051.7%
 
ValueCountFrequency (%) 
02087089.1%
 
14331.8%
 
22571.1%
 
32591.1%
 
43121.3%
 
ValueCountFrequency (%) 
121830.8%
 
111330.6%
 
101650.7%
 
91200.5%
 
81520.6%
 

pref_month_y1_3
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4058552407
Minimum0
Maximum12
Zeros21617
Zeros (%)92.3%
Memory size183.1 KiB
2021-01-21T23:27:30.523742image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.704997671
Coefficient of variation (CV)4.200999518
Kurtosis24.19227879
Mean0.4058552407
Median Absolute Deviation (MAD)0
Skewness4.846128323
Sum9510
Variance2.907017057
MonotocityNot monotonic
2021-01-21T23:27:30.617505image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02161792.3%
 
13181.4%
 
42040.9%
 
22000.9%
 
31900.8%
 
51610.7%
 
71480.6%
 
121240.5%
 
101090.5%
 
81060.5%
 
Other values (3)2551.1%
 
ValueCountFrequency (%) 
02161792.3%
 
13181.4%
 
22000.9%
 
31900.8%
 
42040.9%
 
ValueCountFrequency (%) 
121240.5%
 
11750.3%
 
101090.5%
 
9780.3%
 
81060.5%
 

pref_month_y1_4
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3513571185
Minimum0
Maximum12
Zeros21837
Zeros (%)93.2%
Memory size183.1 KiB
2021-01-21T23:27:30.706268image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.593918985
Coefficient of variation (CV)4.536464189
Kurtosis29.11945069
Mean0.3513571185
Median Absolute Deviation (MAD)0
Skewness5.288967226
Sum8233
Variance2.540577732
MonotocityNot monotonic
2021-01-21T23:27:30.806998image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02183793.2%
 
12961.3%
 
21900.8%
 
41800.8%
 
31580.7%
 
61290.6%
 
51250.5%
 
121130.5%
 
101040.4%
 
7880.4%
 
Other values (3)2120.9%
 
ValueCountFrequency (%) 
02183793.2%
 
12961.3%
 
21900.8%
 
31580.7%
 
41800.8%
 
ValueCountFrequency (%) 
121130.5%
 
11650.3%
 
101040.4%
 
9610.3%
 
8860.4%
 

pref_month_y1_5
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3231051553
Minimum0
Maximum12
Zeros21949
Zeros (%)93.7%
Memory size183.1 KiB
2021-01-21T23:27:30.896758image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.539803379
Coefficient of variation (CV)4.76564163
Kurtosis32.53688292
Mean0.3231051553
Median Absolute Deviation (MAD)0
Skewness5.586417741
Sum7571
Variance2.370994446
MonotocityNot monotonic
2021-01-21T23:27:30.995494image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02194993.7%
 
12981.3%
 
21870.8%
 
31470.6%
 
41450.6%
 
51420.6%
 
121080.5%
 
10990.4%
 
7840.4%
 
6750.3%
 
Other values (3)1980.8%
 
ValueCountFrequency (%) 
02194993.7%
 
12981.3%
 
21870.8%
 
31470.6%
 
41450.6%
 
ValueCountFrequency (%) 
121080.5%
 
11670.3%
 
10990.4%
 
9590.3%
 
8720.3%
 

pref_month_y2_1
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.881401502
Minimum0
Maximum12
Zeros17007
Zeros (%)72.6%
Memory size183.1 KiB
2021-01-21T23:27:31.093235image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.586767007
Coefficient of variation (CV)1.906433583
Kurtosis1.618192188
Mean1.881401502
Median Absolute Deviation (MAD)0
Skewness1.74925867
Sum44085
Variance12.86489756
MonotocityNot monotonic
2021-01-21T23:27:31.193964image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
01700772.6%
 
129133.9%
 
46572.8%
 
85442.3%
 
55382.3%
 
115042.2%
 
75002.1%
 
104992.1%
 
34732.0%
 
14732.0%
 
Other values (3)13245.7%
 
ValueCountFrequency (%) 
01700772.6%
 
14732.0%
 
24471.9%
 
34732.0%
 
46572.8%
 
ValueCountFrequency (%) 
129133.9%
 
115042.2%
 
104992.1%
 
94592.0%
 
85442.3%
 

pref_month_y2_2
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.60506999
Minimum0
Maximum12
Zeros17007
Zeros (%)72.6%
Memory size183.1 KiB
2021-01-21T23:27:31.291703image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.191666024
Coefficient of variation (CV)1.988490249
Kurtosis2.506063826
Mean1.60506999
Median Absolute Deviation (MAD)0
Skewness1.942029651
Sum37610
Variance10.18673201
MonotocityNot monotonic
2021-01-21T23:27:31.393432image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
01700772.6%
 
19544.1%
 
46102.6%
 
35682.4%
 
55632.4%
 
75432.3%
 
84932.1%
 
24892.1%
 
64682.0%
 
94652.0%
 
Other values (3)12725.4%
 
ValueCountFrequency (%) 
01700772.6%
 
19544.1%
 
24892.1%
 
35682.4%
 
46102.6%
 
ValueCountFrequency (%) 
124211.8%
 
114191.8%
 
104321.8%
 
94652.0%
 
84932.1%
 

pref_month_y2_3
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.016302492
Minimum0
Maximum12
Zeros19380
Zeros (%)82.7%
Memory size183.1 KiB
2021-01-21T23:27:31.496181image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.65342475
Coefficient of variation (CV)2.610861205
Kurtosis6.505934773
Mean1.016302492
Median Absolute Deviation (MAD)0
Skewness2.736971543
Sum23814
Variance7.040662902
MonotocityNot monotonic
2021-01-21T23:27:31.602895image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
01938082.7%
 
15402.3%
 
44101.7%
 
33751.6%
 
53591.5%
 
73441.5%
 
23401.5%
 
93131.3%
 
82951.3%
 
62831.2%
 
Other values (3)7933.4%
 
ValueCountFrequency (%) 
01938082.7%
 
15402.3%
 
23401.5%
 
33751.6%
 
44101.7%
 
ValueCountFrequency (%) 
122721.2%
 
112771.2%
 
102441.0%
 
93131.3%
 
82951.3%
 

pref_month_y2_4
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8141857289
Minimum0
Maximum12
Zeros20098
Zeros (%)85.8%
Memory size183.1 KiB
2021-01-21T23:27:31.704623image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.391238512
Coefficient of variation (CV)2.936969327
Kurtosis9.385979938
Mean0.8141857289
Median Absolute Deviation (MAD)0
Skewness3.178096758
Sum19078
Variance5.718021624
MonotocityNot monotonic
2021-01-21T23:27:31.807348image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02009885.8%
 
14622.0%
 
43881.7%
 
33271.4%
 
52971.3%
 
22851.2%
 
72611.1%
 
62361.0%
 
112321.0%
 
92251.0%
 
Other values (3)6212.7%
 
ValueCountFrequency (%) 
02009885.8%
 
14622.0%
 
22851.2%
 
33271.4%
 
43881.7%
 
ValueCountFrequency (%) 
122110.9%
 
112321.0%
 
101980.8%
 
92251.0%
 
82120.9%
 

pref_month_y2_5
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7352765449
Minimum0
Maximum12
Zeros20468
Zeros (%)87.4%
Memory size183.1 KiB
2021-01-21T23:27:31.915061image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.300453928
Coefficient of variation (CV)3.128692115
Kurtosis10.81003391
Mean0.7352765449
Median Absolute Deviation (MAD)0
Skewness3.38944644
Sum17229
Variance5.292088277
MonotocityNot monotonic
2021-01-21T23:27:32.014793image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02046887.4%
 
14061.7%
 
43251.4%
 
32921.2%
 
22531.1%
 
52491.1%
 
72291.0%
 
112281.0%
 
92150.9%
 
82100.9%
 
Other values (3)5572.4%
 
ValueCountFrequency (%) 
02046887.4%
 
14061.7%
 
22531.1%
 
32921.2%
 
43251.4%
 
ValueCountFrequency (%) 
121860.8%
 
112281.0%
 
101780.8%
 
92150.9%
 
82100.9%
 

pref_month_y3_1
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.491720724
Minimum0
Maximum12
Zeros15619
Zeros (%)66.7%
Memory size183.1 KiB
2021-01-21T23:27:32.115525image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.077146422
Coefficient of variation (CV)1.636277446
Kurtosis0.1644949177
Mean2.491720724
Median Absolute Deviation (MAD)0
Skewness1.325776203
Sum58386
Variance16.62312295
MonotocityNot monotonic
2021-01-21T23:27:32.218251image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
01561966.7%
 
1214526.2%
 
117193.1%
 
107033.0%
 
46852.9%
 
86462.8%
 
95982.6%
 
55942.5%
 
75802.5%
 
65122.2%
 
Other values (3)13245.7%
 
ValueCountFrequency (%) 
01561966.7%
 
14682.0%
 
24051.7%
 
34511.9%
 
46852.9%
 
ValueCountFrequency (%) 
1214526.2%
 
117193.1%
 
107033.0%
 
95982.6%
 
86462.8%
 

pref_month_y3_2
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.083817002
Minimum0
Maximum12
Zeros15619
Zeros (%)66.7%
Memory size183.1 KiB
2021-01-21T23:27:32.309008image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile11
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.592307418
Coefficient of variation (CV)1.723907337
Kurtosis0.9375295284
Mean2.083817002
Median Absolute Deviation (MAD)0
Skewness1.538672393
Sum48828
Variance12.90467259
MonotocityNot monotonic
2021-01-21T23:27:32.415722image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
01561966.7%
 
111144.8%
 
57103.0%
 
96622.8%
 
46532.8%
 
76422.7%
 
126362.7%
 
66132.6%
 
115982.6%
 
105912.5%
 
Other values (3)15946.8%
 
ValueCountFrequency (%) 
01561966.7%
 
111144.8%
 
24251.8%
 
35802.5%
 
46532.8%
 
ValueCountFrequency (%) 
126362.7%
 
115982.6%
 
105912.5%
 
96622.8%
 
85892.5%
 

pref_month_y3_3
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.358740184
Minimum0
Maximum12
Zeros18470
Zeros (%)78.8%
Memory size183.1 KiB
2021-01-21T23:27:32.512464image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.082469594
Coefficient of variation (CV)2.268623265
Kurtosis3.704367703
Mean1.358740184
Median Absolute Deviation (MAD)0
Skewness2.234640862
Sum31838
Variance9.501618796
MonotocityNot monotonic
2021-01-21T23:27:32.613194image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
01847078.8%
 
15512.4%
 
44531.9%
 
54491.9%
 
124261.8%
 
114231.8%
 
94191.8%
 
74011.7%
 
103881.7%
 
33851.6%
 
Other values (3)10674.6%
 
ValueCountFrequency (%) 
01847078.8%
 
15512.4%
 
23241.4%
 
33851.6%
 
44531.9%
 
ValueCountFrequency (%) 
124261.8%
 
114231.8%
 
103881.7%
 
94191.8%
 
83731.6%
 

pref_month_y3_4
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.094699556
Minimum0
Maximum12
Zeros19378
Zeros (%)82.7%
Memory size183.1 KiB
2021-01-21T23:27:32.708939image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.814138306
Coefficient of variation (CV)2.570694662
Kurtosis5.720018742
Mean1.094699556
Median Absolute Deviation (MAD)0
Skewness2.622615183
Sum25651
Variance7.919374405
MonotocityNot monotonic
2021-01-21T23:27:32.821638image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
01937882.7%
 
14802.0%
 
53551.5%
 
123521.5%
 
43481.5%
 
113421.5%
 
93261.4%
 
63201.4%
 
33171.4%
 
73151.3%
 
Other values (3)8993.8%
 
ValueCountFrequency (%) 
01937882.7%
 
14802.0%
 
22961.3%
 
33171.4%
 
43481.5%
 
ValueCountFrequency (%) 
123521.5%
 
113421.5%
 
102961.3%
 
93261.4%
 
83071.3%
 

pref_month_y3_5
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9507084329
Minimum0
Maximum12
Zeros19982
Zeros (%)85.3%
Memory size183.1 KiB
2021-01-21T23:27:32.917383image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.660478764
Coefficient of variation (CV)2.798417129
Kurtosis7.238738665
Mean0.9507084329
Median Absolute Deviation (MAD)0
Skewness2.88577393
Sum22277
Variance7.078147251
MonotocityNot monotonic
2021-01-21T23:27:33.070232image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
01998285.3%
 
13831.6%
 
43431.5%
 
53181.4%
 
113171.4%
 
123021.3%
 
93001.3%
 
72671.1%
 
102641.1%
 
62521.1%
 
Other values (3)7043.0%
 
ValueCountFrequency (%) 
01998285.3%
 
13831.6%
 
22170.9%
 
32461.0%
 
43431.5%
 
ValueCountFrequency (%) 
123021.3%
 
113171.4%
 
102641.1%
 
93001.3%
 
82411.0%
 

workday_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

workday_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

workday_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

workday_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

workday_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

weekend_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

weekend_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

weekend_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

weekend_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

weekend_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

holiday_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

holiday_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

holiday_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

holiday_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

holiday_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

close_holiday_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

close_holiday_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

close_holiday_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

close_holiday_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

close_holiday_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

flt_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07916524411
Minimum0
Maximum20
Zeros22656
Zeros (%)96.7%
Memory size183.1 KiB
2021-01-21T23:27:33.197891image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5816884966
Coefficient of variation (CV)7.347776201
Kurtosis252.830109
Mean0.07916524411
Median Absolute Deviation (MAD)0
Skewness12.99378143
Sum1855
Variance0.3383615071
MonotocityNot monotonic
2021-01-21T23:27:33.296627image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
02265696.7%
 
13471.5%
 
22060.9%
 
4750.3%
 
3690.3%
 
7340.1%
 
5190.1%
 
88< 0.1%
 
67< 0.1%
 
103< 0.1%
 
Other values (5)8< 0.1%
 
ValueCountFrequency (%) 
02265696.7%
 
13471.5%
 
22060.9%
 
3690.3%
 
4750.3%
 
ValueCountFrequency (%) 
201< 0.1%
 
181< 0.1%
 
163< 0.1%
 
121< 0.1%
 
112< 0.1%
 

flt_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1631102765
Minimum0
Maximum35
Zeros22176
Zeros (%)94.6%
Memory size183.1 KiB
2021-01-21T23:27:33.398354image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.042451595
Coefficient of variation (CV)6.391084711
Kurtosis240.578734
Mean0.1631102765
Median Absolute Deviation (MAD)0
Skewness12.66822874
Sum3822
Variance1.086705327
MonotocityNot monotonic
2021-01-21T23:27:33.492105image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
02217694.6%
 
14561.9%
 
23511.5%
 
41420.6%
 
31240.5%
 
5340.1%
 
6330.1%
 
14300.1%
 
7230.1%
 
8160.1%
 
Other values (11)470.2%
 
ValueCountFrequency (%) 
02217694.6%
 
14561.9%
 
23511.5%
 
31240.5%
 
41420.6%
 
ValueCountFrequency (%) 
351< 0.1%
 
302< 0.1%
 
292< 0.1%
 
172< 0.1%
 
162< 0.1%
 

flt_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct40
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4536104473
Minimum0
Maximum93
Zeros20941
Zeros (%)89.4%
Memory size183.1 KiB
2021-01-21T23:27:33.613780image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum93
Range93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.331712177
Coefficient of variation (CV)5.140340552
Kurtosis247.9871329
Mean0.4536104473
Median Absolute Deviation (MAD)0
Skewness12.53984427
Sum10629
Variance5.436881676
MonotocityNot monotonic
2021-01-21T23:27:33.731463image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
02094189.4%
 
27233.1%
 
15272.2%
 
44822.1%
 
32451.0%
 
5940.4%
 
6870.4%
 
7630.3%
 
8510.2%
 
9340.1%
 
Other values (30)1850.8%
 
ValueCountFrequency (%) 
02094189.4%
 
15272.2%
 
27233.1%
 
32451.0%
 
44822.1%
 
ValueCountFrequency (%) 
931< 0.1%
 
582< 0.1%
 
491< 0.1%
 
481< 0.1%
 
451< 0.1%
 

flt_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct64
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.470254353
Minimum0
Maximum179
Zeros17053
Zeros (%)72.8%
Memory size183.1 KiB
2021-01-21T23:27:33.858126image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum179
Range179
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.81869336
Coefficient of variation (CV)3.277455598
Kurtosis190.9385967
Mean1.470254353
Median Absolute Deviation (MAD)0
Skewness10.79028127
Sum34451
Variance23.2198057
MonotocityNot monotonic
2021-01-21T23:27:34.001743image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01705372.8%
 
423159.9%
 
214586.2%
 
35112.2%
 
14151.8%
 
62981.3%
 
52951.3%
 
82891.2%
 
71670.7%
 
9800.3%
 
Other values (54)5512.4%
 
ValueCountFrequency (%) 
01705372.8%
 
14151.8%
 
214586.2%
 
35112.2%
 
423159.9%
 
ValueCountFrequency (%) 
1791< 0.1%
 
1112< 0.1%
 
881< 0.1%
 
861< 0.1%
 
841< 0.1%
 

flt_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct80
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.049974394
Minimum0
Maximum201
Zeros15619
Zeros (%)66.7%
Memory size183.1 KiB
2021-01-21T23:27:34.152340image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile8
Maximum201
Range201
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.415221858
Coefficient of variation (CV)3.129415605
Kurtosis164.6694802
Mean2.049974394
Median Absolute Deviation (MAD)0
Skewness10.59019244
Sum48035
Variance41.15507149
MonotocityNot monotonic
2021-01-21T23:27:34.305929image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01561966.7%
 
4287012.2%
 
214826.3%
 
36582.8%
 
64501.9%
 
84151.8%
 
53961.7%
 
13221.4%
 
72341.0%
 
91370.6%
 
Other values (70)8493.6%
 
ValueCountFrequency (%) 
01561966.7%
 
13221.4%
 
214826.3%
 
36582.8%
 
4287012.2%
 
ValueCountFrequency (%) 
2011< 0.1%
 
1442< 0.1%
 
1371< 0.1%
 
1151< 0.1%
 
1131< 0.1%
 

recent_flt_day
Categorical

HIGH CARDINALITY

Distinct994
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
2019/1/5
 
56
2019/1/1
 
43
2019/1/6
 
43
2020/1/5
 
40
Other values (989)
9074 
ValueCountFrequency (%) 
01417660.5%
 
2019/1/5560.2%
 
2019/1/1430.2%
 
2019/1/6430.2%
 
2020/1/5400.2%
 
2019/1/11380.2%
 
2019/1/4360.2%
 
2018/4/2340.1%
 
2020/1/17340.1%
 
2019/8/21340.1%
 
Other values (984)889838.0%
 
2021-01-21T23:27:34.467496image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique55 ?
Unique (%)0.2%

next_flt_day
Real number (ℝ)

SKEWED
ZEROS

Distinct34
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1086121543
Minimum-1
Maximum127
Zeros23049
Zeros (%)98.4%
Memory size183.1 KiB
2021-01-21T23:27:34.604132image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum127
Range128
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.681972101
Coefficient of variation (CV)24.69311209
Kurtosis1052.308868
Mean0.1086121543
Median Absolute Deviation (MAD)0
Skewness30.39937223
Sum2545
Variance7.192974353
MonotocityNot monotonic
2021-01-21T23:27:34.720919image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
02304998.4%
 
-12621.1%
 
1160.1%
 
33140.1%
 
5130.1%
 
29< 0.1%
 
48< 0.1%
 
38< 0.1%
 
504< 0.1%
 
114< 0.1%
 
Other values (24)450.2%
 
ValueCountFrequency (%) 
-12621.1%
 
02304998.4%
 
1160.1%
 
29< 0.1%
 
38< 0.1%
 
ValueCountFrequency (%) 
1271< 0.1%
 
1051< 0.1%
 
1041< 0.1%
 
1013< 0.1%
 
951< 0.1%
 

birth_interval_day
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

dist_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct1884
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5865.51037
Minimum0
Maximum319914
Zeros18237
Zeros (%)77.8%
Memory size183.1 KiB
2021-01-21T23:27:34.851589image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile29613.05
Maximum319914
Range319914
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17729.28669
Coefficient of variation (CV)3.022633253
Kurtosis133.3249304
Mean5865.51037
Median Absolute Deviation (MAD)0
Skewness8.998491152
Sum137440639
Variance314327606.5
MonotocityNot monotonic
2021-01-21T23:27:34.984033image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01823777.8%
 
259342861.2%
 
87001470.6%
 
129341430.6%
 
216751350.6%
 
174001300.6%
 
27713870.4%
 
10808690.3%
 
13000500.2%
 
31972490.2%
 
Other values (1874)409917.5%
 
ValueCountFrequency (%) 
01823777.8%
 
2731< 0.1%
 
4121< 0.1%
 
4421< 0.1%
 
4781< 0.1%
 
ValueCountFrequency (%) 
319914300.1%
 
1792394< 0.1%
 
1619202< 0.1%
 
1559993< 0.1%
 
1549041< 0.1%
 

dist_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

dist_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct3706
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16190.17869
Minimum0
Maximum705910
Zeros14178
Zeros (%)60.5%
Memory size183.1 KiB
2021-01-21T23:27:35.178015image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325934
95-th percentile62976.05
Maximum705910
Range705910
Interquartile range (IQR)25934

Descriptive statistics

Standard deviation38548.15378
Coefficient of variation (CV)2.380959131
Kurtosis141.0389295
Mean16190.17869
Median Absolute Deviation (MAD)0
Skewness9.321838703
Sum379368267
Variance1485960160
MonotocityNot monotonic
2021-01-21T23:27:35.321630image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01417860.5%
 
264782841.2%
 
216752431.0%
 
259341930.8%
 
174011430.6%
 
23902960.4%
 
28705950.4%
 
27713950.4%
 
27869790.3%
 
13088660.3%
 
Other values (3696)796034.0%
 
ValueCountFrequency (%) 
01417860.5%
 
4121< 0.1%
 
5551< 0.1%
 
6101< 0.1%
 
6471< 0.1%
 
ValueCountFrequency (%) 
705910300.1%
 
4697273< 0.1%
 
4031554< 0.1%
 
3799042< 0.1%
 
3651473< 0.1%
 

flt_nature_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8890833049
Minimum0
Maximum85
Zeros18231
Zeros (%)77.8%
Memory size183.1 KiB
2021-01-21T23:27:35.472227image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.064113172
Coefficient of variation (CV)3.446373535
Kurtosis170.5792083
Mean0.8890833049
Median Absolute Deviation (MAD)0
Skewness10.49691044
Sum20833
Variance9.388789531
MonotocityNot monotonic
2021-01-21T23:27:35.678253image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01823177.8%
 
216977.2%
 
412365.3%
 
17193.1%
 
36642.8%
 
62050.9%
 
51870.8%
 
81080.5%
 
7810.3%
 
10470.2%
 
Other values (40)2571.1%
 
ValueCountFrequency (%) 
01823177.8%
 
17193.1%
 
216977.2%
 
36642.8%
 
412365.3%
 
ValueCountFrequency (%) 
851< 0.1%
 
841< 0.1%
 
821< 0.1%
 
791< 0.1%
 
571< 0.1%
 

flt_nature_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

flt_nature_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct88
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.430991806
Minimum0
Maximum209
Zeros14176
Zeros (%)60.5%
Memory size183.1 KiB
2021-01-21T23:27:35.820895image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile9
Maximum209
Range209
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.090224413
Coefficient of variation (CV)2.916597413
Kurtosis207.4636945
Mean2.430991806
Median Absolute Deviation (MAD)0
Skewness11.65299383
Sum56963
Variance50.27128222
MonotocityNot monotonic
2021-01-21T23:27:35.965509image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01417660.5%
 
4321613.7%
 
217337.4%
 
38443.6%
 
65662.4%
 
85012.1%
 
54782.0%
 
13741.6%
 
73211.4%
 
101700.7%
 
Other values (78)10534.5%
 
ValueCountFrequency (%) 
01417660.5%
 
13741.6%
 
217337.4%
 
38443.6%
 
4321613.7%
 
ValueCountFrequency (%) 
2091< 0.1%
 
2011< 0.1%
 
1991< 0.1%
 
1691< 0.1%
 
1671< 0.1%
 

avg_dist_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct395
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean276.7381778
Minimum0
Maximum13390
Zeros22451
Zeros (%)95.8%
Memory size183.1 KiB
2021-01-21T23:27:36.099151image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13390
Range13390
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1567.338965
Coefficient of variation (CV)5.6636167
Kurtosis40.7660182
Mean276.7381778
Median Absolute Deviation (MAD)0
Skewness6.285004788
Sum6484528.981
Variance2456551.431
MonotocityNot monotonic
2021-01-21T23:27:36.246757image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02245195.8%
 
8701880.4%
 
8700750.3%
 
13088710.3%
 
13390390.2%
 
6920.571429290.1%
 
13239280.1%
 
10808230.1%
 
8700.5170.1%
 
10867120.1%
 
Other values (385)5992.6%
 
ValueCountFrequency (%) 
02245195.8%
 
2712< 0.1%
 
2935< 0.1%
 
4901< 0.1%
 
525.51< 0.1%
 
ValueCountFrequency (%) 
13390390.2%
 
13289.333331< 0.1%
 
13239280.1%
 
13088710.3%
 
12907.51< 0.1%
 

avg_dist_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct669
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean484.2704483
Minimum0
Maximum13390
Zeros21754
Zeros (%)92.8%
Memory size183.1 KiB
2021-01-21T23:27:36.395360image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4674.8125
Maximum13390
Range13390
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2028.270177
Coefficient of variation (CV)4.188300535
Kurtosis20.95158499
Mean484.2704483
Median Absolute Deviation (MAD)0
Skewness4.570065755
Sum11347425.14
Variance4113879.913
MonotocityNot monotonic
2021-01-21T23:27:36.544959image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02175492.8%
 
87011280.5%
 
13088970.4%
 
8700730.3%
 
13239680.3%
 
8700.5490.2%
 
13390470.2%
 
10808390.2%
 
7133.333333290.1%
 
10837.5240.1%
 
Other values (659)11244.8%
 
ValueCountFrequency (%) 
02175492.8%
 
2712< 0.1%
 
2931< 0.1%
 
4451< 0.1%
 
4901< 0.1%
 
ValueCountFrequency (%) 
13390470.2%
 
13289.333336< 0.1%
 
13239680.3%
 
13188.666673< 0.1%
 
13088970.4%
 

avg_dist_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct1300
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1137.98887
Minimum0
Maximum14363
Zeros19699
Zeros (%)84.1%
Memory size183.1 KiB
2021-01-21T23:27:36.679600image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8701
Maximum14363
Range14363
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3000.412733
Coefficient of variation (CV)2.636592337
Kurtosis6.162101539
Mean1137.98887
Median Absolute Deviation (MAD)0
Skewness2.677344994
Sum26665355.19
Variance9002476.568
MonotocityNot monotonic
2021-01-21T23:27:36.828203image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01969984.1%
 
87012200.9%
 
130882100.9%
 
8700.51640.7%
 
132391590.7%
 
11171130.5%
 
10808950.4%
 
13390810.3%
 
8700710.3%
 
10837.5540.2%
 
Other values (1290)256611.0%
 
ValueCountFrequency (%) 
01969984.1%
 
2641< 0.1%
 
2712< 0.1%
 
2931< 0.1%
 
4741< 0.1%
 
ValueCountFrequency (%) 
143632< 0.1%
 
13390810.3%
 
13289.33333190.1%
 
13269.24< 0.1%
 
13260.571434< 0.1%
 

avg_dist_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct2740
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2309.667423
Minimum0
Maximum13390
Zeros16255
Zeros (%)69.4%
Memory size183.1 KiB
2021-01-21T23:27:36.971819image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35067.5
95-th percentile10808
Maximum13390
Range13390
Interquartile range (IQR)5067.5

Descriptive statistics

Standard deviation3834.017782
Coefficient of variation (CV)1.65998695
Kurtosis0.6459713869
Mean2309.667423
Median Absolute Deviation (MAD)0
Skewness1.393092705
Sum54120127.05
Variance14699692.35
MonotocityNot monotonic
2021-01-21T23:27:37.120421image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01625569.4%
 
132393541.5%
 
8700.52761.2%
 
10837.51690.7%
 
87001220.5%
 
108081080.5%
 
7176.251070.5%
 
6967.251040.4%
 
12934990.4%
 
5975.5910.4%
 
Other values (2730)574724.5%
 
ValueCountFrequency (%) 
01625569.4%
 
4121< 0.1%
 
4181< 0.1%
 
5351< 0.1%
 
5551< 0.1%
 
ValueCountFrequency (%) 
13390170.1%
 
13289.33333230.1%
 
13269.28< 0.1%
 
13251.61< 0.1%
 
132393541.5%
 

avg_dist_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct3196
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2524.376467
Minimum0
Maximum13390
Zeros15619
Zeros (%)66.7%
Memory size183.1 KiB
2021-01-21T23:27:37.268025image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35908
95-th percentile10837.5
Maximum13390
Range13390
Interquartile range (IQR)5908

Descriptive statistics

Standard deviation3902.890653
Coefficient of variation (CV)1.546081064
Kurtosis0.1895345867
Mean2524.376467
Median Absolute Deviation (MAD)0
Skewness1.225176036
Sum59151189.38
Variance15232555.45
MonotocityNot monotonic
2021-01-21T23:27:37.424608image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01561966.7%
 
132392791.2%
 
10837.52261.0%
 
8700.52020.9%
 
129671640.7%
 
87001090.5%
 
7176.251010.4%
 
6967.25980.4%
 
5975.5850.4%
 
6928.25820.3%
 
Other values (3186)646727.6%
 
ValueCountFrequency (%) 
01561966.7%
 
4181< 0.1%
 
5551< 0.1%
 
6211< 0.1%
 
6471< 0.1%
 
ValueCountFrequency (%) 
133907< 0.1%
 
13289.33333150.1%
 
13269.22< 0.1%
 
13251.61< 0.1%
 
132392791.2%
 

complain_valid_cnt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005206555138
Minimum0
Maximum7
Zeros23381
Zeros (%)99.8%
Memory size183.1 KiB
2021-01-21T23:27:37.547281image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1295693665
Coefficient of variation (CV)24.88581473
Kurtosis1156.693186
Mean0.005206555138
Median Absolute Deviation (MAD)0
Skewness31.47050093
Sum122
Variance0.01678822074
MonotocityNot monotonic
2021-01-21T23:27:37.631055image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02338199.8%
 
2220.1%
 
1140.1%
 
56< 0.1%
 
35< 0.1%
 
43< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
02338199.8%
 
1140.1%
 
2220.1%
 
35< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
56< 0.1%
 
43< 0.1%
 
35< 0.1%
 
2220.1%
 

complain_valid_cnt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005761351997
Minimum0
Maximum7
Zeros23374
Zeros (%)99.8%
Memory size183.1 KiB
2021-01-21T23:27:37.715830image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1355036536
Coefficient of variation (CV)23.51941934
Kurtosis1031.128194
Mean0.005761351997
Median Absolute Deviation (MAD)0
Skewness29.77369575
Sum135
Variance0.01836124013
MonotocityNot monotonic
2021-01-21T23:27:37.806587image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02337499.8%
 
2220.1%
 
1190.1%
 
56< 0.1%
 
45< 0.1%
 
35< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
02337499.8%
 
1190.1%
 
2220.1%
 
35< 0.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
56< 0.1%
 
45< 0.1%
 
35< 0.1%
 
2220.1%
 

complain_valid_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00614544213
Minimum0
Maximum7
Zeros23369
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:27:37.903329image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1381383408
Coefficient of variation (CV)22.47817779
Kurtosis961.6749473
Mean0.00614544213
Median Absolute Deviation (MAD)0
Skewness28.62363139
Sum144
Variance0.0190822012
MonotocityNot monotonic
2021-01-21T23:27:37.983114image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02336999.7%
 
2260.1%
 
1200.1%
 
56< 0.1%
 
45< 0.1%
 
35< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
02336999.7%
 
1200.1%
 
2260.1%
 
35< 0.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
56< 0.1%
 
45< 0.1%
 
35< 0.1%
 
2260.1%
 

complain_valid_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007639125982
Minimum0
Maximum7
Zeros23358
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:27:38.076865image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1559200641
Coefficient of variation (CV)20.41072034
Kurtosis714.5980276
Mean0.007639125982
Median Absolute Deviation (MAD)0
Skewness24.97405478
Sum179
Variance0.02431106638
MonotocityNot monotonic
2021-01-21T23:27:38.159642image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02335899.7%
 
2280.1%
 
1210.1%
 
411< 0.1%
 
37< 0.1%
 
56< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
02335899.7%
 
1210.1%
 
2280.1%
 
37< 0.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
56< 0.1%
 
411< 0.1%
 
37< 0.1%
 
2280.1%
 

complain_valid_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00904745647
Minimum0
Maximum7
Zeros23333
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:27:38.258379image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1629402523
Coefficient of variation (CV)18.00950939
Kurtosis612.5470576
Mean0.00904745647
Median Absolute Deviation (MAD)0
Skewness22.88127231
Sum212
Variance0.02654952581
MonotocityNot monotonic
2021-01-21T23:27:38.345284image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02333399.6%
 
1400.2%
 
2320.1%
 
411< 0.1%
 
39< 0.1%
 
56< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
02333399.6%
 
1400.2%
 
2320.1%
 
39< 0.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
56< 0.1%
 
411< 0.1%
 
39< 0.1%
 
2320.1%
 

bag_cnt_m3
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23415 
1
 
17
ValueCountFrequency (%) 
02341599.9%
 
1170.1%
 

bag_cnt_m6
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23406 
1
 
25
2
 
1
ValueCountFrequency (%) 
02340699.9%
 
1250.1%
 
21< 0.1%
 
2021-01-21T23:27:38.465962image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

bag_cnt_y1
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23373 
1
 
56
2
 
2
3
 
1
ValueCountFrequency (%) 
02337399.7%
 
1560.2%
 
22< 0.1%
 
31< 0.1%
 
2021-01-21T23:27:38.562705image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

bag_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00524923182
Minimum0
Maximum5
Zeros23327
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:27:38.647479image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08576610858
Coefficient of variation (CV)16.33879233
Kurtosis771.6923952
Mean0.00524923182
Median Absolute Deviation (MAD)0
Skewness22.75114733
Sum123
Variance0.00735582538
MonotocityNot monotonic
2021-01-21T23:27:38.739233image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02332799.6%
 
1910.4%
 
2120.1%
 
51< 0.1%
 
31< 0.1%
 
ValueCountFrequency (%) 
02332799.6%
 
1910.4%
 
2120.1%
 
31< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
31< 0.1%
 
2120.1%
 
1910.4%
 
02332799.6%
 

bag_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006657562308
Minimum0
Maximum5
Zeros23301
Zeros (%)99.4%
Memory size183.1 KiB
2021-01-21T23:27:38.843953image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09841937624
Coefficient of variation (CV)14.78309503
Kurtosis592.0107782
Mean0.006657562308
Median Absolute Deviation (MAD)0
Skewness20.48130384
Sum156
Variance0.00968637362
MonotocityNot monotonic
2021-01-21T23:27:38.943686image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02330199.4%
 
11140.5%
 
211< 0.1%
 
35< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
02330199.4%
 
11140.5%
 
211< 0.1%
 
35< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
35< 0.1%
 
211< 0.1%
 
11140.5%
 
02330199.4%
 

cabin_upgrd_cnt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003243427791
Minimum0
Maximum14
Zeros23395
Zeros (%)99.8%
Memory size183.1 KiB
2021-01-21T23:27:39.033445image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1385453211
Coefficient of variation (CV)42.71571006
Kurtosis6654.686505
Mean0.003243427791
Median Absolute Deviation (MAD)0
Skewness75.87758318
Sum76
Variance0.019194806
MonotocityNot monotonic
2021-01-21T23:27:39.126199image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02339599.8%
 
1290.1%
 
34< 0.1%
 
141< 0.1%
 
111< 0.1%
 
81< 0.1%
 
21< 0.1%
 
ValueCountFrequency (%) 
02339599.8%
 
1290.1%
 
21< 0.1%
 
34< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
141< 0.1%
 
111< 0.1%
 
81< 0.1%
 
34< 0.1%
 
21< 0.1%
 

cabin_upgrd_cnt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006273472175
Minimum0
Maximum21
Zeros23358
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:27:39.230919image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2211625751
Coefficient of variation (CV)35.25361537
Kurtosis6326.626268
Mean0.006273472175
Median Absolute Deviation (MAD)0
Skewness74.1431506
Sum147
Variance0.04891288462
MonotocityNot monotonic
2021-01-21T23:27:39.322674image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02335899.7%
 
1600.3%
 
36< 0.1%
 
23< 0.1%
 
52< 0.1%
 
131< 0.1%
 
211< 0.1%
 
191< 0.1%
 
ValueCountFrequency (%) 
02335899.7%
 
1600.3%
 
23< 0.1%
 
36< 0.1%
 
52< 0.1%
 
ValueCountFrequency (%) 
211< 0.1%
 
191< 0.1%
 
131< 0.1%
 
52< 0.1%
 
36< 0.1%
 

cabin_upgrd_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01958859679
Minimum0
Maximum66
Zeros23272
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:27:39.419413image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum66
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5538713347
Coefficient of variation (CV)28.27519197
Kurtosis9122.143652
Mean0.01958859679
Median Absolute Deviation (MAD)0
Skewness84.32190449
Sum459
Variance0.3067734554
MonotocityNot monotonic
2021-01-21T23:27:39.519148image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02327299.3%
 
1940.4%
 
3330.1%
 
2140.1%
 
106< 0.1%
 
75< 0.1%
 
43< 0.1%
 
62< 0.1%
 
301< 0.1%
 
231< 0.1%
 
ValueCountFrequency (%) 
02327299.3%
 
1940.4%
 
2140.1%
 
3330.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
661< 0.1%
 
301< 0.1%
 
231< 0.1%
 
106< 0.1%
 
75< 0.1%
 

cabin_upgrd_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0361471492
Minimum0
Maximum70
Zeros23159
Zeros (%)98.8%
Memory size183.1 KiB
2021-01-21T23:27:39.620900image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7648319563
Coefficient of variation (CV)21.15884581
Kurtosis4056.580979
Mean0.0361471492
Median Absolute Deviation (MAD)0
Skewness55.21611574
Sum847
Variance0.5849679213
MonotocityNot monotonic
2021-01-21T23:27:39.712653image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
02315998.8%
 
11630.7%
 
2390.2%
 
3270.1%
 
6190.1%
 
196< 0.1%
 
45< 0.1%
 
143< 0.1%
 
112< 0.1%
 
72< 0.1%
 
Other values (6)7< 0.1%
 
ValueCountFrequency (%) 
02315998.8%
 
11630.7%
 
2390.2%
 
3270.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
701< 0.1%
 
451< 0.1%
 
431< 0.1%
 
196< 0.1%
 
181< 0.1%
 

cabin_upgrd_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct19
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04592010925
Minimum0
Maximum70
Zeros23084
Zeros (%)98.5%
Memory size183.1 KiB
2021-01-21T23:27:39.819370image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9004143594
Coefficient of variation (CV)19.60827999
Kurtosis3548.578776
Mean0.04592010925
Median Absolute Deviation (MAD)0
Skewness52.57947435
Sum1076
Variance0.8107460186
MonotocityNot monotonic
2021-01-21T23:27:39.924089image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
02308498.5%
 
12160.9%
 
2520.2%
 
4250.1%
 
7200.1%
 
3120.1%
 
196< 0.1%
 
163< 0.1%
 
182< 0.1%
 
52< 0.1%
 
Other values (9)10< 0.1%
 
ValueCountFrequency (%) 
02308498.5%
 
12160.9%
 
2520.2%
 
3120.1%
 
4250.1%
 
ValueCountFrequency (%) 
701< 0.1%
 
671< 0.1%
 
551< 0.1%
 
211< 0.1%
 
196< 0.1%
 

select_seat_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

select_seat_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23332 
1
 
65
2
 
22
3
 
13
ValueCountFrequency (%) 
02333299.6%
 
1650.3%
 
2220.1%
 
3130.1%
 
2021-01-21T23:27:40.040776image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

select_seat_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0338426084
Minimum0
Maximum8
Zeros22955
Zeros (%)98.0%
Memory size183.1 KiB
2021-01-21T23:27:40.124501image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2849236055
Coefficient of variation (CV)8.419079348
Kurtosis248.3718787
Mean0.0338426084
Median Absolute Deviation (MAD)0
Skewness13.2065721
Sum793
Variance0.08118146095
MonotocityNot monotonic
2021-01-21T23:27:40.226231image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02295598.0%
 
12791.2%
 
21390.6%
 
3350.1%
 
411< 0.1%
 
86< 0.1%
 
64< 0.1%
 
53< 0.1%
 
ValueCountFrequency (%) 
02295598.0%
 
12791.2%
 
21390.6%
 
3350.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
86< 0.1%
 
64< 0.1%
 
53< 0.1%
 
411< 0.1%
 
3350.1%
 

select_seat_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04353021509
Minimum0
Maximum8
Zeros22836
Zeros (%)97.5%
Memory size183.1 KiB
2021-01-21T23:27:40.328469image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3274008136
Coefficient of variation (CV)7.52123124
Kurtosis182.6262808
Mean0.04353021509
Median Absolute Deviation (MAD)0
Skewness11.49323477
Sum1020
Variance0.1071912928
MonotocityNot monotonic
2021-01-21T23:27:40.427205image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02283697.5%
 
13371.4%
 
21780.8%
 
3440.2%
 
4180.1%
 
86< 0.1%
 
66< 0.1%
 
55< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
02283697.5%
 
13371.4%
 
21780.8%
 
3440.2%
 
4180.1%
 
ValueCountFrequency (%) 
86< 0.1%
 
72< 0.1%
 
66< 0.1%
 
55< 0.1%
 
4180.1%
 

dist_d_cnt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct163
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.94562991
Minimum0
Maximum22218
Zeros23172
Zeros (%)98.9%
Memory size183.1 KiB
2021-01-21T23:27:40.555861image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22218
Range22218
Interquartile range (IQR)0

Descriptive statistics

Standard deviation467.8272985
Coefficient of variation (CV)14.64448502
Kurtosis1011.566843
Mean31.94562991
Median Absolute Deviation (MAD)0
Skewness27.6602522
Sum748550
Variance218862.3812
MonotocityNot monotonic
2021-01-21T23:27:40.682523image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02317298.9%
 
119410< 0.1%
 
117010< 0.1%
 
29768< 0.1%
 
25324< 0.1%
 
5274< 0.1%
 
23644< 0.1%
 
8784< 0.1%
 
6964< 0.1%
 
12904< 0.1%
 
Other values (153)2080.9%
 
ValueCountFrequency (%) 
02317298.9%
 
1541< 0.1%
 
2931< 0.1%
 
4904< 0.1%
 
5274< 0.1%
 
ValueCountFrequency (%) 
222182< 0.1%
 
205061< 0.1%
 
201041< 0.1%
 
161741< 0.1%
 
157731< 0.1%
 

dist_d_cnt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct281
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.50174974
Minimum0
Maximum42690
Zeros22969
Zeros (%)98.0%
Memory size183.1 KiB
2021-01-21T23:27:40.809184image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum42690
Range42690
Interquartile range (IQR)0

Descriptive statistics

Standard deviation837.5891578
Coefficient of variation (CV)12.59499428
Kurtosis1108.335262
Mean66.50174974
Median Absolute Deviation (MAD)0
Skewness28.29136683
Sum1558269
Variance701555.5973
MonotocityNot monotonic
2021-01-21T23:27:40.951802image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02296998.0%
 
1335220.1%
 
11949< 0.1%
 
29768< 0.1%
 
25327< 0.1%
 
11707< 0.1%
 
12027< 0.1%
 
5276< 0.1%
 
11835< 0.1%
 
2935< 0.1%
 
Other values (271)3871.7%
 
ValueCountFrequency (%) 
02296998.0%
 
1542< 0.1%
 
2712< 0.1%
 
2935< 0.1%
 
3931< 0.1%
 
ValueCountFrequency (%) 
426902< 0.1%
 
405311< 0.1%
 
315201< 0.1%
 
310881< 0.1%
 
218191< 0.1%
 

dist_d_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct473
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.4664988
Minimum0
Maximum99509
Zeros22539
Zeros (%)96.2%
Memory size183.1 KiB
2021-01-21T23:27:41.087441image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum99509
Range99509
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1682.903908
Coefficient of variation (CV)10.29509973
Kurtosis1140.157165
Mean163.4664988
Median Absolute Deviation (MAD)0
Skewness27.95559288
Sum3830347
Variance2832165.564
MonotocityNot monotonic
2021-01-21T23:27:41.230083image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02253996.2%
 
2942290.1%
 
1017160.1%
 
1202130.1%
 
2290120.1%
 
114311< 0.1%
 
23859< 0.1%
 
11709< 0.1%
 
14928< 0.1%
 
52378< 0.1%
 
Other values (463)7783.3%
 
ValueCountFrequency (%) 
02253996.2%
 
1543< 0.1%
 
2714< 0.1%
 
2937< 0.1%
 
3931< 0.1%
 
ValueCountFrequency (%) 
995091< 0.1%
 
768902< 0.1%
 
539431< 0.1%
 
536831< 0.1%
 
517281< 0.1%
 

dist_d_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1026
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean412.9123848
Minimum0
Maximum194611
Zeros21436
Zeros (%)91.5%
Memory size183.1 KiB
2021-01-21T23:27:41.381676image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2240.95
Maximum194611
Range194611
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3276.16865
Coefficient of variation (CV)7.934294951
Kurtosis1054.699755
Mean412.9123848
Median Absolute Deviation (MAD)0
Skewness26.54117466
Sum9675363
Variance10733281.02
MonotocityNot monotonic
2021-01-21T23:27:41.509336image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02143691.5%
 
2301380.2%
 
7130290.1%
 
2869200.1%
 
1472180.1%
 
2529160.1%
 
1959160.1%
 
2323160.1%
 
887150.1%
 
3659140.1%
 
Other values (1016)18147.7%
 
ValueCountFrequency (%) 
02143691.5%
 
1541< 0.1%
 
2647< 0.1%
 
2712< 0.1%
 
2731< 0.1%
 
ValueCountFrequency (%) 
1946111< 0.1%
 
1418692< 0.1%
 
1119401< 0.1%
 
951611< 0.1%
 
867551< 0.1%
 

dist_d_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1241
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean559.8206726
Minimum0
Maximum218164
Zeros21006
Zeros (%)89.6%
Memory size183.1 KiB
2021-01-21T23:27:41.648229image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2728
Maximum218164
Range218164
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4248.492415
Coefficient of variation (CV)7.589023813
Kurtosis905.9236756
Mean559.8206726
Median Absolute Deviation (MAD)0
Skewness25.2101788
Sum13117718
Variance18049687.8
MonotocityNot monotonic
2021-01-21T23:27:41.822135image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02100689.6%
 
2356330.1%
 
2301300.1%
 
7130290.1%
 
2616240.1%
 
2728220.1%
 
1178190.1%
 
2529180.1%
 
2869170.1%
 
1356160.1%
 
Other values (1231)22189.5%
 
ValueCountFrequency (%) 
02100689.6%
 
1541< 0.1%
 
1602< 0.1%
 
2647< 0.1%
 
2712< 0.1%
 
ValueCountFrequency (%) 
2181641< 0.1%
 
1843502< 0.1%
 
1753911< 0.1%
 
1202021< 0.1%
 
1194671< 0.1%
 

dist_i_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct224
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean481.1433083
Minimum0
Maximum67560
Zeros22618
Zeros (%)96.5%
Memory size183.1 KiB
2021-01-21T23:27:41.950805image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum67560
Range67560
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3004.287339
Coefficient of variation (CV)6.244059279
Kurtosis85.19854048
Mean481.1433083
Median Absolute Deviation (MAD)0
Skewness8.185791097
Sum11274150
Variance9025742.413
MonotocityNot monotonic
2021-01-21T23:27:42.088439image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02261896.5%
 
87001000.4%
 
8701750.3%
 
13088660.3%
 
13390530.2%
 
26478410.2%
 
17401290.1%
 
10808290.1%
 
21675200.1%
 
10867190.1%
 
Other values (214)3821.6%
 
ValueCountFrequency (%) 
02261896.5%
 
4953< 0.1%
 
9541< 0.1%
 
9581< 0.1%
 
9691< 0.1%
 
ValueCountFrequency (%) 
675601< 0.1%
 
529562< 0.1%
 
512203< 0.1%
 
495731< 0.1%
 
493721< 0.1%
 

dist_i_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct360
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean997.8816576
Minimum0
Maximum104846
Zeros22065
Zeros (%)94.2%
Memory size183.1 KiB
2021-01-21T23:27:42.230061image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8700
Maximum104846
Range104846
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4904.914421
Coefficient of variation (CV)4.915326767
Kurtosis58.64949215
Mean997.8816576
Median Absolute Deviation (MAD)0
Skewness6.709331137
Sum23382363
Variance24058185.48
MonotocityNot monotonic
2021-01-21T23:27:42.367983image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02206594.2%
 
87001060.5%
 
130881060.5%
 
8701970.4%
 
26478860.4%
 
13390780.3%
 
17401640.3%
 
10808570.2%
 
34802310.1%
 
21675310.1%
 
Other values (350)7113.0%
 
ValueCountFrequency (%) 
02206594.2%
 
4954< 0.1%
 
7361< 0.1%
 
9261< 0.1%
 
9542< 0.1%
 
ValueCountFrequency (%) 
1048461< 0.1%
 
712913< 0.1%
 
689883< 0.1%
 
643083< 0.1%
 
614051< 0.1%
 

dist_i_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct784
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3160.94994
Minimum0
Maximum185896
Zeros20581
Zeros (%)87.8%
Memory size183.1 KiB
2021-01-21T23:27:42.513616image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26015
Maximum185896
Range185896
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12090.80195
Coefficient of variation (CV)3.825053284
Kurtosis85.79263308
Mean3160.94994
Median Absolute Deviation (MAD)0
Skewness7.572975022
Sum74067379
Variance146187491.8
MonotocityNot monotonic
2021-01-21T23:27:42.642273image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02058187.8%
 
264783201.4%
 
174012090.9%
 
216751250.5%
 
87011150.5%
 
133901050.4%
 
13088900.4%
 
8700890.4%
 
10867520.2%
 
26102380.2%
 
Other values (774)17087.3%
 
ValueCountFrequency (%) 
02058187.8%
 
4952< 0.1%
 
8741< 0.1%
 
9491< 0.1%
 
9694< 0.1%
 
ValueCountFrequency (%) 
185896300.1%
 
1761181< 0.1%
 
1519172< 0.1%
 
1472083< 0.1%
 
1242323< 0.1%
 

dist_i_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct1868
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10880.43556
Minimum0
Maximum505810
Zeros16102
Zeros (%)68.7%
Memory size183.1 KiB
2021-01-21T23:27:42.798855image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317401
95-th percentile47426
Maximum505810
Range505810
Interquartile range (IQR)17401

Descriptive statistics

Standard deviation27773.58675
Coefficient of variation (CV)2.552617182
Kurtosis136.3719668
Mean10880.43556
Median Absolute Deviation (MAD)0
Skewness9.058189674
Sum254950366
Variance771372121.2
MonotocityNot monotonic
2021-01-21T23:27:42.960445image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01610268.7%
 
264786772.9%
 
216754331.8%
 
174014131.8%
 
130881300.6%
 
239021100.5%
 
287051020.4%
 
529561010.4%
 
34802990.4%
 
8700980.4%
 
Other values (1858)516722.1%
 
ValueCountFrequency (%) 
01610268.7%
 
5001< 0.1%
 
6751< 0.1%
 
6861< 0.1%
 
8722< 0.1%
 
ValueCountFrequency (%) 
505810300.1%
 
3085522< 0.1%
 
2447703< 0.1%
 
2395491< 0.1%
 
2295913< 0.1%
 

dist_i_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct2569
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15532.07955
Minimum0
Maximum705910
Zeros14238
Zeros (%)60.8%
Memory size183.1 KiB
2021-01-21T23:27:43.140964image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325767
95-th percentile60902
Maximum705910
Range705910
Interquartile range (IQR)25767

Descriptive statistics

Standard deviation37150.7149
Coefficient of variation (CV)2.391869986
Kurtosis160.1975307
Mean15532.07955
Median Absolute Deviation (MAD)0
Skewness9.944119474
Sum363947688
Variance1380175618
MonotocityNot monotonic
2021-01-21T23:27:43.295063image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01423860.8%
 
216755352.3%
 
264784992.1%
 
259343271.4%
 
174012901.2%
 
524121170.5%
 
174001060.5%
 
130881030.4%
 
23902970.4%
 
28705950.4%
 
Other values (2559)702530.0%
 
ValueCountFrequency (%) 
01423860.8%
 
5001< 0.1%
 
6101< 0.1%
 
8001< 0.1%
 
8161< 0.1%
 
ValueCountFrequency (%) 
705910300.1%
 
4087973< 0.1%
 
3928934< 0.1%
 
3548112< 0.1%
 
3375333< 0.1%
 

dist_all_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct398
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean515.1240184
Minimum0
Maximum72616
Zeros22496
Zeros (%)96.0%
Memory size183.1 KiB
2021-01-21T23:27:43.457630image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum72616
Range72616
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3122.667779
Coefficient of variation (CV)6.061972781
Kurtosis83.42758681
Mean515.1240184
Median Absolute Deviation (MAD)0
Skewness8.054921008
Sum12070386
Variance9751054.055
MonotocityNot monotonic
2021-01-21T23:27:43.587283image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02249696.0%
 
8700870.4%
 
8701630.3%
 
13088460.2%
 
13390460.2%
 
26478360.2%
 
10808240.1%
 
17401200.1%
 
10867140.1%
 
21675130.1%
 
Other values (388)5872.5%
 
ValueCountFrequency (%) 
02249696.0%
 
2712< 0.1%
 
2931< 0.1%
 
4241< 0.1%
 
4861< 0.1%
 
ValueCountFrequency (%) 
726161< 0.1%
 
547783< 0.1%
 
529562< 0.1%
 
495731< 0.1%
 
493721< 0.1%
 

dist_all_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct639
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1066.366465
Minimum0
Maximum115652
Zeros21905
Zeros (%)93.5%
Memory size183.1 KiB
2021-01-21T23:27:43.722920image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8700
Maximum115652
Range115652
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5147.885395
Coefficient of variation (CV)4.827501207
Kurtosis59.58894613
Mean1066.366465
Median Absolute Deviation (MAD)0
Skewness6.700860363
Sum24987099
Variance26500724.04
MonotocityNot monotonic
2021-01-21T23:27:43.866672image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02190593.5%
 
8700960.4%
 
8701840.4%
 
13088820.3%
 
13390580.2%
 
26478450.2%
 
17401430.2%
 
10808400.2%
 
34802300.1%
 
10867140.1%
 
Other values (629)10354.4%
 
ValueCountFrequency (%) 
02190593.5%
 
1541< 0.1%
 
2931< 0.1%
 
4241< 0.1%
 
4861< 0.1%
 
ValueCountFrequency (%) 
1156521< 0.1%
 
749753< 0.1%
 
742291< 0.1%
 
689883< 0.1%
 
678663< 0.1%
 

dist_all_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct1253
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3332.868684
Minimum0
Maximum190987
Zeros20410
Zeros (%)87.1%
Memory size183.1 KiB
2021-01-21T23:27:44.013280image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26102
Maximum190987
Range190987
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12594.55959
Coefficient of variation (CV)3.778894635
Kurtosis77.53793785
Mean3332.868684
Median Absolute Deviation (MAD)0
Skewness7.262069197
Sum78095779
Variance158622931.2
MonotocityNot monotonic
2021-01-21T23:27:44.165871image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02041087.1%
 
264781920.8%
 
174011170.5%
 
8701830.4%
 
13390820.3%
 
8700710.3%
 
21675620.3%
 
13088600.3%
 
26102320.1%
 
10867310.1%
 
Other values (1243)22929.8%
 
ValueCountFrequency (%) 
02041087.1%
 
2711< 0.1%
 
2931< 0.1%
 
4241< 0.1%
 
4562< 0.1%
 
ValueCountFrequency (%) 
1909871< 0.1%
 
185896300.1%
 
1607272< 0.1%
 
1543243< 0.1%
 
1274093< 0.1%
 

dist_all_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct2875
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11337.14113
Minimum0
Maximum505810
Zeros16005
Zeros (%)68.3%
Memory size183.1 KiB
2021-01-21T23:27:44.376309image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317401
95-th percentile49706.3
Maximum505810
Range505810
Interquartile range (IQR)17401

Descriptive statistics

Standard deviation28766.33701
Coefficient of variation (CV)2.537353701
Kurtosis120.9431986
Mean11337.14113
Median Absolute Deviation (MAD)0
Skewness8.545760855
Sum265651891
Variance827502144.9
MonotocityNot monotonic
2021-01-21T23:27:44.527928image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01600568.3%
 
264783951.7%
 
174012130.9%
 
216751850.8%
 
239021090.5%
 
287051020.4%
 
27869920.4%
 
13088830.4%
 
32672640.3%
 
52956620.3%
 
Other values (2865)612226.1%
 
ValueCountFrequency (%) 
01600568.3%
 
5001< 0.1%
 
5171< 0.1%
 
5551< 0.1%
 
6782< 0.1%
 
ValueCountFrequency (%) 
505810300.1%
 
3310292< 0.1%
 
2826693< 0.1%
 
2546151< 0.1%
 
2470231< 0.1%
 

dist_all_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct3706
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16190.17869
Minimum0
Maximum705910
Zeros14178
Zeros (%)60.5%
Memory size183.1 KiB
2021-01-21T23:27:44.723421image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325934
95-th percentile62976.05
Maximum705910
Range705910
Interquartile range (IQR)25934

Descriptive statistics

Standard deviation38548.15378
Coefficient of variation (CV)2.380959131
Kurtosis141.0389295
Mean16190.17869
Median Absolute Deviation (MAD)0
Skewness9.321838703
Sum379368267
Variance1485960160
MonotocityNot monotonic
2021-01-21T23:27:44.975160image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01417860.5%
 
264782841.2%
 
216752431.0%
 
259341930.8%
 
174011430.6%
 
23902960.4%
 
28705950.4%
 
27713950.4%
 
27869790.3%
 
13088660.3%
 
Other values (3696)796034.0%
 
ValueCountFrequency (%) 
01417860.5%
 
4121< 0.1%
 
5551< 0.1%
 
6101< 0.1%
 
6471< 0.1%
 
ValueCountFrequency (%) 
705910300.1%
 
4697273< 0.1%
 
4031554< 0.1%
 
3799042< 0.1%
 
3651473< 0.1%
 

cabin_hd_cnt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007639125982
Minimum0
Maximum14
Zeros23359
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:27:45.097833image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2211196147
Coefficient of variation (CV)28.94566934
Kurtosis2764.919263
Mean0.007639125982
Median Absolute Deviation (MAD)0
Skewness48.94877245
Sum179
Variance0.04889388402
MonotocityNot monotonic
2021-01-21T23:27:45.186594image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02335999.7%
 
1440.2%
 
2120.1%
 
38< 0.1%
 
142< 0.1%
 
132< 0.1%
 
42< 0.1%
 
111< 0.1%
 
81< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
02335999.7%
 
1440.2%
 
2120.1%
 
38< 0.1%
 
42< 0.1%
 
ValueCountFrequency (%) 
142< 0.1%
 
132< 0.1%
 
111< 0.1%
 
81< 0.1%
 
61< 0.1%
 

cabin_hd_cnt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0158757255
Minimum0
Maximum26
Zeros23295
Zeros (%)99.4%
Memory size183.1 KiB
2021-01-21T23:27:45.276354image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3939328089
Coefficient of variation (CV)24.81353112
Kurtosis2764.654989
Mean0.0158757255
Median Absolute Deviation (MAD)0
Skewness48.62454728
Sum372
Variance0.1551830579
MonotocityNot monotonic
2021-01-21T23:27:45.421965image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02329599.4%
 
1760.3%
 
2330.1%
 
48< 0.1%
 
37< 0.1%
 
54< 0.1%
 
252< 0.1%
 
182< 0.1%
 
141< 0.1%
 
261< 0.1%
 
Other values (3)3< 0.1%
 
ValueCountFrequency (%) 
02329599.4%
 
1760.3%
 
2330.1%
 
37< 0.1%
 
48< 0.1%
 
ValueCountFrequency (%) 
261< 0.1%
 
252< 0.1%
 
182< 0.1%
 
161< 0.1%
 
141< 0.1%
 

cabin_hd_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03550699898
Minimum0
Maximum62
Zeros23193
Zeros (%)99.0%
Memory size183.1 KiB
2021-01-21T23:27:45.598539image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7494455628
Coefficient of variation (CV)21.10698128
Kurtosis3276.182714
Mean0.03550699898
Median Absolute Deviation (MAD)0
Skewness51.19109557
Sum832
Variance0.5616686517
MonotocityNot monotonic
2021-01-21T23:27:45.706264image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
02319399.0%
 
2850.4%
 
1820.3%
 
3220.1%
 
4180.1%
 
58< 0.1%
 
77< 0.1%
 
94< 0.1%
 
63< 0.1%
 
422< 0.1%
 
Other values (8)8< 0.1%
 
ValueCountFrequency (%) 
02319399.0%
 
1820.3%
 
2850.4%
 
3220.1%
 
4180.1%
 
ValueCountFrequency (%) 
621< 0.1%
 
422< 0.1%
 
351< 0.1%
 
291< 0.1%
 
271< 0.1%
 

cabin_hd_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05932058723
Minimum0
Maximum73
Zeros23095
Zeros (%)98.6%
Memory size183.1 KiB
2021-01-21T23:27:45.866714image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum73
Range73
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.114876348
Coefficient of variation (CV)18.79408819
Kurtosis2367.366587
Mean0.05932058723
Median Absolute Deviation (MAD)0
Skewness44.24380715
Sum1390
Variance1.242949272
MonotocityNot monotonic
2021-01-21T23:27:45.969210image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
02309598.6%
 
11300.6%
 
2830.4%
 
4320.1%
 
3270.1%
 
5170.1%
 
8130.1%
 
76< 0.1%
 
65< 0.1%
 
105< 0.1%
 
Other values (15)190.1%
 
ValueCountFrequency (%) 
02309598.6%
 
11300.6%
 
2830.4%
 
3270.1%
 
4320.1%
 
ValueCountFrequency (%) 
731< 0.1%
 
652< 0.1%
 
551< 0.1%
 
511< 0.1%
 
381< 0.1%
 

cabin_hd_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07280641857
Minimum0
Maximum84
Zeros23036
Zeros (%)98.3%
Memory size183.1 KiB
2021-01-21T23:27:46.159753image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum84
Range84
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.336541263
Coefficient of variation (CV)18.35746476
Kurtosis2210.893208
Mean0.07280641857
Median Absolute Deviation (MAD)0
Skewness42.96908044
Sum1706
Variance1.786342548
MonotocityNot monotonic
2021-01-21T23:27:46.262984image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
02303698.3%
 
11590.7%
 
2930.4%
 
3360.2%
 
4330.1%
 
5160.1%
 
8130.1%
 
710< 0.1%
 
118< 0.1%
 
135< 0.1%
 
Other values (14)230.1%
 
ValueCountFrequency (%) 
02303698.3%
 
11590.7%
 
2930.4%
 
3360.2%
 
4330.1%
 
ValueCountFrequency (%) 
841< 0.1%
 
751< 0.1%
 
732< 0.1%
 
591< 0.1%
 
481< 0.1%
 

cabin_hi_cnt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01954592011
Minimum0
Maximum8
Zeros23257
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:27:46.448964image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2942732225
Coefficient of variation (CV)15.05548068
Kurtosis453.4600579
Mean0.01954592011
Median Absolute Deviation (MAD)0
Skewness20.17415111
Sum458
Variance0.08659672949
MonotocityNot monotonic
2021-01-21T23:27:46.532738image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02325799.3%
 
1750.3%
 
2470.2%
 
7290.1%
 
3180.1%
 
44< 0.1%
 
82< 0.1%
 
ValueCountFrequency (%) 
02325799.3%
 
1750.3%
 
2470.2%
 
3180.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
82< 0.1%
 
7290.1%
 
44< 0.1%
 
3180.1%
 
2470.2%
 

cabin_hi_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03542164561
Minimum0
Maximum13
Zeros23142
Zeros (%)98.8%
Memory size183.1 KiB
2021-01-21T23:27:46.709756image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4448405869
Coefficient of variation (CV)12.55843931
Kurtosis399.6917023
Mean0.03542164561
Median Absolute Deviation (MAD)0
Skewness18.62236962
Sum830
Variance0.1978831477
MonotocityNot monotonic
2021-01-21T23:27:46.868095image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02314298.8%
 
11100.5%
 
2960.4%
 
10290.1%
 
3240.1%
 
4140.1%
 
5120.1%
 
132< 0.1%
 
91< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
02314298.8%
 
11100.5%
 
2960.4%
 
3240.1%
 
4140.1%
 
ValueCountFrequency (%) 
132< 0.1%
 
10290.1%
 
91< 0.1%
 
81< 0.1%
 
71< 0.1%
 

cabin_hi_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09619324001
Minimum0
Maximum28
Zeros22874
Zeros (%)97.6%
Memory size183.1 KiB
2021-01-21T23:27:46.988772image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.015209764
Coefficient of variation (CV)10.55385768
Kurtosis370.9082913
Mean0.09619324001
Median Absolute Deviation (MAD)0
Skewness17.75708708
Sum2254
Variance1.030650866
MonotocityNot monotonic
2021-01-21T23:27:47.073004image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
02287497.6%
 
11780.8%
 
21600.7%
 
4740.3%
 
3300.1%
 
6250.1%
 
23160.1%
 
8140.1%
 
5140.1%
 
22140.1%
 
Other values (7)330.1%
 
ValueCountFrequency (%) 
02287497.6%
 
11780.8%
 
21600.7%
 
3300.1%
 
4740.3%
 
ValueCountFrequency (%) 
282< 0.1%
 
23160.1%
 
22140.1%
 
133< 0.1%
 
124< 0.1%
 

cabin_hi_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct29
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2418487538
Minimum0
Maximum36
Zeros22323
Zeros (%)95.3%
Memory size183.1 KiB
2021-01-21T23:27:47.264906image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.834732445
Coefficient of variation (CV)7.586280333
Kurtosis218.7384505
Mean0.2418487538
Median Absolute Deviation (MAD)0
Skewness13.48054595
Sum5667
Variance3.366243144
MonotocityNot monotonic
2021-01-21T23:27:47.368629image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
02232395.3%
 
22961.3%
 
12261.0%
 
41960.8%
 
3880.4%
 
5530.2%
 
6460.2%
 
8440.2%
 
7230.1%
 
33160.1%
 
Other values (19)1210.5%
 
ValueCountFrequency (%) 
02232395.3%
 
12261.0%
 
22961.3%
 
3880.4%
 
41960.8%
 
ValueCountFrequency (%) 
36160.1%
 
33160.1%
 
316< 0.1%
 
302< 0.1%
 
263< 0.1%
 

cabin_hi_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3193069307
Minimum0
Maximum59
Zeros22109
Zeros (%)94.4%
Memory size183.1 KiB
2021-01-21T23:27:47.558618image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum59
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.256038096
Coefficient of variation (CV)7.065421633
Kurtosis221.6055897
Mean0.3193069307
Median Absolute Deviation (MAD)0
Skewness13.26038532
Sum7482
Variance5.089707889
MonotocityNot monotonic
2021-01-21T23:27:47.666329image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
02210994.4%
 
23031.3%
 
42591.1%
 
12491.1%
 
31040.4%
 
5720.3%
 
6600.3%
 
8440.2%
 
7310.1%
 
10260.1%
 
Other values (25)1750.7%
 
ValueCountFrequency (%) 
02210994.4%
 
12491.1%
 
23031.3%
 
31040.4%
 
42591.1%
 
ValueCountFrequency (%) 
592< 0.1%
 
45160.1%
 
36140.1%
 
343< 0.1%
 
333< 0.1%
 

flt_leg_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08902355753
Minimum0
Maximum21
Zeros22496
Zeros (%)96.0%
Memory size183.1 KiB
2021-01-21T23:27:47.773541image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.588912713
Coefficient of variation (CV)6.615245777
Kurtosis256.9779371
Mean0.08902355753
Median Absolute Deviation (MAD)0
Skewness12.6891814
Sum2086
Variance0.3468181836
MonotocityNot monotonic
2021-01-21T23:27:47.864261image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
02249696.0%
 
14211.8%
 
22751.2%
 
4890.4%
 
3810.3%
 
5260.1%
 
7150.1%
 
6120.1%
 
85< 0.1%
 
132< 0.1%
 
Other values (8)10< 0.1%
 
ValueCountFrequency (%) 
02249696.0%
 
14211.8%
 
22751.2%
 
3810.3%
 
4890.4%
 
ValueCountFrequency (%) 
211< 0.1%
 
181< 0.1%
 
162< 0.1%
 
151< 0.1%
 
141< 0.1%
 

flt_leg_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1804796859
Minimum0
Maximum35
Zeros21905
Zeros (%)93.5%
Memory size183.1 KiB
2021-01-21T23:27:47.964992image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.042393435
Coefficient of variation (CV)5.775682895
Kurtosis298.0656718
Mean0.1804796859
Median Absolute Deviation (MAD)0
Skewness13.68259074
Sum4229
Variance1.086584073
MonotocityNot monotonic
2021-01-21T23:27:48.067717image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
02190593.5%
 
15682.4%
 
24171.8%
 
42130.9%
 
31690.7%
 
5390.2%
 
6330.1%
 
8200.1%
 
7170.1%
 
10120.1%
 
Other values (15)390.2%
 
ValueCountFrequency (%) 
02190593.5%
 
15682.4%
 
24171.8%
 
31690.7%
 
42130.9%
 
ValueCountFrequency (%) 
352< 0.1%
 
302< 0.1%
 
281< 0.1%
 
272< 0.1%
 
221< 0.1%
 

flt_leg_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct48
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5282092864
Minimum0
Maximum93
Zeros20410
Zeros (%)87.1%
Memory size183.1 KiB
2021-01-21T23:27:48.192384image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum93
Range93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.405211732
Coefficient of variation (CV)4.553520344
Kurtosis303.7606064
Mean0.5282092864
Median Absolute Deviation (MAD)0
Skewness13.22945784
Sum12377
Variance5.785043475
MonotocityNot monotonic
2021-01-21T23:27:48.326710image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%) 
02041087.1%
 
28963.8%
 
46522.8%
 
15782.5%
 
33121.3%
 
61090.5%
 
5990.4%
 
7820.3%
 
8620.3%
 
23340.1%
 
Other values (38)1980.8%
 
ValueCountFrequency (%) 
02041087.1%
 
15782.5%
 
28963.8%
 
33121.3%
 
46522.8%
 
ValueCountFrequency (%) 
931< 0.1%
 
891< 0.1%
 
611< 0.1%
 
591< 0.1%
 
582< 0.1%
 

flt_leg_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.689612496
Minimum0
Maximum179
Zeros16003
Zeros (%)68.3%
Memory size183.1 KiB
2021-01-21T23:27:48.566267image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum179
Range179
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.214070253
Coefficient of variation (CV)3.085956257
Kurtosis226.3477581
Mean1.689612496
Median Absolute Deviation (MAD)0
Skewness11.83105742
Sum39591
Variance27.1865286
MonotocityNot monotonic
2021-01-21T23:27:48.782588image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01600368.3%
 
4259611.1%
 
216607.1%
 
36362.7%
 
14892.1%
 
64041.7%
 
53751.6%
 
83261.4%
 
71980.8%
 
91340.6%
 
Other values (65)6112.6%
 
ValueCountFrequency (%) 
01600368.3%
 
14892.1%
 
216607.1%
 
36362.7%
 
4259611.1%
 
ValueCountFrequency (%) 
1791< 0.1%
 
1461< 0.1%
 
1441< 0.1%
 
1411< 0.1%
 
1191< 0.1%
 

flt_leg_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct88
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.430991806
Minimum0
Maximum209
Zeros14176
Zeros (%)60.5%
Memory size183.1 KiB
2021-01-21T23:27:48.918734image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile9
Maximum209
Range209
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.090224413
Coefficient of variation (CV)2.916597413
Kurtosis207.4636945
Mean2.430991806
Median Absolute Deviation (MAD)0
Skewness11.65299383
Sum56963
Variance50.27128222
MonotocityNot monotonic
2021-01-21T23:27:49.054372image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01417660.5%
 
4321613.7%
 
217337.4%
 
38443.6%
 
65662.4%
 
85012.1%
 
54782.0%
 
13741.6%
 
73211.4%
 
101700.7%
 
Other values (78)10534.5%
 
ValueCountFrequency (%) 
01417660.5%
 
13741.6%
 
217337.4%
 
38443.6%
 
4321613.7%
 
ValueCountFrequency (%) 
2091< 0.1%
 
2011< 0.1%
 
1991< 0.1%
 
1691< 0.1%
 
1671< 0.1%
 

flt_leg_i_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0612410379
Minimum0
Maximum10
Zeros22618
Zeros (%)96.5%
Memory size183.1 KiB
2021-01-21T23:27:49.258556image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3854464319
Coefficient of variation (CV)6.293923897
Kurtosis103.186624
Mean0.0612410379
Median Absolute Deviation (MAD)0
Skewness8.817408445
Sum1435
Variance0.1485689518
MonotocityNot monotonic
2021-01-21T23:27:49.346342image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02261896.5%
 
14461.9%
 
22371.0%
 
4650.3%
 
3460.2%
 
5120.1%
 
64< 0.1%
 
82< 0.1%
 
101< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
02261896.5%
 
14461.9%
 
22371.0%
 
3460.2%
 
4650.3%
 
ValueCountFrequency (%) 
101< 0.1%
 
82< 0.1%
 
71< 0.1%
 
64< 0.1%
 
5120.1%
 

flt_leg_i_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.123122226
Minimum0
Maximum14
Zeros22065
Zeros (%)94.2%
Memory size183.1 KiB
2021-01-21T23:27:49.487075image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6201691758
Coefficient of variation (CV)5.037020495
Kurtosis84.05022214
Mean0.123122226
Median Absolute Deviation (MAD)0
Skewness7.708633533
Sum2885
Variance0.3846098066
MonotocityNot monotonic
2021-01-21T23:27:49.578853image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
02206594.2%
 
16132.6%
 
24161.8%
 
41460.6%
 
31140.5%
 
5380.2%
 
7140.1%
 
87< 0.1%
 
67< 0.1%
 
114< 0.1%
 
Other values (4)8< 0.1%
 
ValueCountFrequency (%) 
02206594.2%
 
16132.6%
 
24161.8%
 
31140.5%
 
41460.6%
 
ValueCountFrequency (%) 
141< 0.1%
 
122< 0.1%
 
114< 0.1%
 
101< 0.1%
 
94< 0.1%
 

flt_leg_i_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3841328098
Minimum0
Maximum46
Zeros20581
Zeros (%)87.8%
Memory size183.1 KiB
2021-01-21T23:27:49.676591image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.55799801
Coefficient of variation (CV)4.05588372
Kurtosis125.5138019
Mean0.3841328098
Median Absolute Deviation (MAD)0
Skewness9.001733847
Sum9001
Variance2.427357799
MonotocityNot monotonic
2021-01-21T23:27:49.784303image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
02058187.8%
 
211044.7%
 
16572.8%
 
44481.9%
 
32431.0%
 
61040.4%
 
5870.4%
 
8470.2%
 
7460.2%
 
23330.1%
 
Other values (15)820.3%
 
ValueCountFrequency (%) 
02058187.8%
 
16572.8%
 
211044.7%
 
32431.0%
 
44481.9%
 
ValueCountFrequency (%) 
461< 0.1%
 
301< 0.1%
 
272< 0.1%
 
242< 0.1%
 
23330.1%
 

flt_leg_i_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct42
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.303431205
Minimum0
Maximum81
Zeros16100
Zeros (%)68.7%
Memory size183.1 KiB
2021-01-21T23:27:49.900991image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum81
Range81
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.574401733
Coefficient of variation (CV)2.742301795
Kurtosis152.5523277
Mean1.303431205
Median Absolute Deviation (MAD)0
Skewness10.01011328
Sum30542
Variance12.77634775
MonotocityNot monotonic
2021-01-21T23:27:50.028650image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%) 
01610068.7%
 
2239210.2%
 
421679.2%
 
16732.9%
 
36582.8%
 
63281.4%
 
52971.3%
 
82190.9%
 
71430.6%
 
9850.4%
 
Other values (32)3701.6%
 
ValueCountFrequency (%) 
01610068.7%
 
16732.9%
 
2239210.2%
 
36582.8%
 
421679.2%
 
ValueCountFrequency (%) 
811< 0.1%
 
653< 0.1%
 
63300.1%
 
552< 0.1%
 
491< 0.1%
 

flt_leg_i_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.872780813
Minimum0
Maximum97
Zeros14236
Zeros (%)60.8%
Memory size183.1 KiB
2021-01-21T23:27:50.230922image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile7
Maximum97
Range97
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.763269404
Coefficient of variation (CV)2.543420657
Kurtosis167.4460672
Mean1.872780813
Median Absolute Deviation (MAD)0
Skewness10.57824623
Sum43883
Variance22.68873542
MonotocityNot monotonic
2021-01-21T23:27:50.379547image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01423660.8%
 
4285412.2%
 
2255410.9%
 
38933.8%
 
15722.4%
 
64942.1%
 
54191.8%
 
83601.5%
 
72591.1%
 
91280.5%
 
Other values (43)6632.8%
 
ValueCountFrequency (%) 
01423660.8%
 
15722.4%
 
2255410.9%
 
38933.8%
 
4285412.2%
 
ValueCountFrequency (%) 
971< 0.1%
 
963< 0.1%
 
86300.1%
 
741< 0.1%
 
731< 0.1%
 

flt_leg_d_cnt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02496585865
Minimum0
Maximum19
Zeros23172
Zeros (%)98.9%
Memory size183.1 KiB
2021-01-21T23:27:50.488367image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3660974676
Coefficient of variation (CV)14.66392455
Kurtosis1211.499854
Mean0.02496585865
Median Absolute Deviation (MAD)0
Skewness30.24674126
Sum585
Variance0.1340273558
MonotocityNot monotonic
2021-01-21T23:27:50.584114image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
02317298.9%
 
11370.6%
 
2690.3%
 
3220.1%
 
411< 0.1%
 
66< 0.1%
 
54< 0.1%
 
163< 0.1%
 
112< 0.1%
 
121< 0.1%
 
Other values (5)5< 0.1%
 
ValueCountFrequency (%) 
02317298.9%
 
11370.6%
 
2690.3%
 
3220.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
191< 0.1%
 
181< 0.1%
 
163< 0.1%
 
121< 0.1%
 
112< 0.1%
 

flt_leg_d_cnt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05253499488
Minimum0
Maximum35
Zeros22969
Zeros (%)98.0%
Memory size183.1 KiB
2021-01-21T23:27:50.696327image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6500240283
Coefficient of variation (CV)12.37316249
Kurtosis1185.062142
Mean0.05253499488
Median Absolute Deviation (MAD)0
Skewness29.3855664
Sum1231
Variance0.4225312373
MonotocityNot monotonic
2021-01-21T23:27:50.799586image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
02296998.0%
 
12241.0%
 
21280.5%
 
3340.1%
 
4210.1%
 
6130.1%
 
5120.1%
 
96< 0.1%
 
75< 0.1%
 
103< 0.1%
 
Other values (11)170.1%
 
ValueCountFrequency (%) 
02296998.0%
 
12241.0%
 
21280.5%
 
3340.1%
 
4210.1%
 
ValueCountFrequency (%) 
351< 0.1%
 
302< 0.1%
 
291< 0.1%
 
281< 0.1%
 
171< 0.1%
 

flt_leg_d_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct34
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1315295323
Minimum0
Maximum91
Zeros22539
Zeros (%)96.2%
Memory size183.1 KiB
2021-01-21T23:27:50.920430image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum91
Range91
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.347557663
Coefficient of variation (CV)10.2452859
Kurtosis1400.034595
Mean0.1315295323
Median Absolute Deviation (MAD)0
Skewness30.35733177
Sum3082
Variance1.815911655
MonotocityNot monotonic
2021-01-21T23:27:51.037467image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
02253996.2%
 
23181.4%
 
13011.3%
 
3720.3%
 
4690.3%
 
5250.1%
 
7200.1%
 
6180.1%
 
810< 0.1%
 
138< 0.1%
 
Other values (24)520.2%
 
ValueCountFrequency (%) 
02253996.2%
 
13011.3%
 
23181.4%
 
3720.3%
 
4690.3%
 
ValueCountFrequency (%) 
911< 0.1%
 
562< 0.1%
 
461< 0.1%
 
431< 0.1%
 
411< 0.1%
 

flt_leg_d_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct49
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3393222943
Minimum0
Maximum175
Zeros21436
Zeros (%)91.5%
Memory size183.1 KiB
2021-01-21T23:27:51.160447image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum175
Range175
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.641958208
Coefficient of variation (CV)7.785984747
Kurtosis1251.045324
Mean0.3393222943
Median Absolute Deviation (MAD)0
Skewness28.18227068
Sum7951
Variance6.979943171
MonotocityNot monotonic
2021-01-21T23:27:51.293118image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%) 
02143691.5%
 
27483.2%
 
14932.1%
 
32261.0%
 
42030.9%
 
5760.3%
 
6480.2%
 
7320.1%
 
10280.1%
 
8180.1%
 
Other values (39)1240.5%
 
ValueCountFrequency (%) 
02143691.5%
 
14932.1%
 
27483.2%
 
32261.0%
 
42030.9%
 
ValueCountFrequency (%) 
1751< 0.1%
 
1052< 0.1%
 
851< 0.1%
 
791< 0.1%
 
751< 0.1%
 

flt_leg_d_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct55
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4626579037
Minimum0
Maximum197
Zeros21006
Zeros (%)89.6%
Memory size183.1 KiB
2021-01-21T23:27:51.433041image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum197
Range197
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.42773439
Coefficient of variation (CV)7.408788141
Kurtosis974.0531583
Mean0.4626579037
Median Absolute Deviation (MAD)0
Skewness25.74500235
Sum10841
Variance11.74936305
MonotocityNot monotonic
2021-01-21T23:27:51.563596image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02100689.6%
 
28943.8%
 
15232.2%
 
32771.2%
 
42731.2%
 
51040.4%
 
6680.3%
 
7510.2%
 
8330.1%
 
10290.1%
 
Other values (45)1740.7%
 
ValueCountFrequency (%) 
02100689.6%
 
15232.2%
 
28943.8%
 
32771.2%
 
42731.2%
 
ValueCountFrequency (%) 
1971< 0.1%
 
1382< 0.1%
 
1321< 0.1%
 
1011< 0.1%
 
991< 0.1%
 

flt_cancel_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

flt_cancel_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

flt_cancel_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

flt_cancel_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23421 
1
 
10
2
 
1
ValueCountFrequency (%) 
023421> 99.9%
 
110< 0.1%
 
21< 0.1%
 
2021-01-21T23:27:51.701230image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

flt_delay_cnt_m3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23301 
1
 
112
2
 
18
3
 
1
ValueCountFrequency (%) 
02330199.4%
 
11120.5%
 
2180.1%
 
31< 0.1%
 
2021-01-21T23:27:51.913947image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

flt_delay_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02082622055
Minimum0
Maximum6
Zeros23051
Zeros (%)98.4%
Memory size183.1 KiB
2021-01-21T23:27:52.005699image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1879649845
Coefficient of variation (CV)9.02540065
Kurtosis284.4951562
Mean0.02082622055
Median Absolute Deviation (MAD)0
Skewness13.98580569
Sum488
Variance0.0353308354
MonotocityNot monotonic
2021-01-21T23:27:52.091469image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02305198.4%
 
13091.3%
 
2580.2%
 
56< 0.1%
 
43< 0.1%
 
33< 0.1%
 
62< 0.1%
 
ValueCountFrequency (%) 
02305198.4%
 
13091.3%
 
2580.2%
 
33< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
62< 0.1%
 
56< 0.1%
 
43< 0.1%
 
33< 0.1%
 
2580.2%
 

flt_delay_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06824001366
Minimum0
Maximum21
Zeros22404
Zeros (%)95.6%
Memory size183.1 KiB
2021-01-21T23:27:52.182227image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4205410496
Coefficient of variation (CV)6.162675343
Kurtosis402.4859293
Mean0.06824001366
Median Absolute Deviation (MAD)0
Skewness14.33392488
Sum1599
Variance0.1768547744
MonotocityNot monotonic
2021-01-21T23:27:52.275975image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02240495.6%
 
17033.0%
 
22220.9%
 
3600.3%
 
4160.1%
 
86< 0.1%
 
56< 0.1%
 
65< 0.1%
 
93< 0.1%
 
73< 0.1%
 
Other values (3)4< 0.1%
 
ValueCountFrequency (%) 
02240495.6%
 
17033.0%
 
22220.9%
 
3600.3%
 
4160.1%
 
ValueCountFrequency (%) 
211< 0.1%
 
111< 0.1%
 
102< 0.1%
 
93< 0.1%
 
86< 0.1%
 

flt_delay_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2404404234
Minimum0
Maximum36
Zeros20183
Zeros (%)86.1%
Memory size183.1 KiB
2021-01-21T23:27:52.367730image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9229493729
Coefficient of variation (CV)3.838578223
Kurtosis213.9754481
Mean0.2404404234
Median Absolute Deviation (MAD)0
Skewness10.88546207
Sum5634
Variance0.851835545
MonotocityNot monotonic
2021-01-21T23:27:52.468461image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
02018386.1%
 
121229.1%
 
27123.0%
 
32180.9%
 
4780.3%
 
12320.1%
 
5270.1%
 
6190.1%
 
811< 0.1%
 
96< 0.1%
 
Other values (11)240.1%
 
ValueCountFrequency (%) 
02018386.1%
 
121229.1%
 
27123.0%
 
32180.9%
 
4780.3%
 
ValueCountFrequency (%) 
361< 0.1%
 
231< 0.1%
 
222< 0.1%
 
171< 0.1%
 
162< 0.1%
 

flt_delay_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct30
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3923694094
Minimum0
Maximum41
Zeros18846
Zeros (%)80.4%
Memory size183.1 KiB
2021-01-21T23:27:52.588142image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.472820865
Coefficient of variation (CV)3.753658745
Kurtosis183.9316176
Mean0.3923694094
Median Absolute Deviation (MAD)0
Skewness11.32129991
Sum9194
Variance2.1692013
MonotocityNot monotonic
2021-01-21T23:27:52.699841image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
01884680.4%
 
1278511.9%
 
210444.5%
 
33731.6%
 
41370.6%
 
5780.3%
 
6350.1%
 
22310.1%
 
8180.1%
 
7140.1%
 
Other values (20)710.3%
 
ValueCountFrequency (%) 
01884680.4%
 
1278511.9%
 
210444.5%
 
33731.6%
 
41370.6%
 
ValueCountFrequency (%) 
411< 0.1%
 
362< 0.1%
 
341< 0.1%
 
331< 0.1%
 
311< 0.1%
 

flt_delay_time_m3
Real number (ℝ)

ZEROS

Distinct899
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.84933169
Minimum-622
Maximum371.5
Zeros20232
Zeros (%)86.3%
Memory size183.1 KiB
2021-01-21T23:27:52.824511image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-622
5-th percentile-0.5
Q10
median0
Q30
95-th percentile0.181818182
Maximum371.5
Range993.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.7375869
Coefficient of variation (CV)-6.686248154
Kurtosis138.2778828
Mean-3.84933169
Median Absolute Deviation (MAD)0
Skewness-9.694615061
Sum-90197.54015
Variance662.4233796
MonotocityNot monotonic
2021-01-21T23:27:52.967129image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02023286.3%
 
0.253251.4%
 
0.52641.1%
 
-0.252311.0%
 
0.3333333331040.4%
 
-0.5990.4%
 
0.2790.3%
 
1770.3%
 
0.166666667680.3%
 
0.125670.3%
 
Other values (889)18868.0%
 
ValueCountFrequency (%) 
-6222< 0.1%
 
-5981< 0.1%
 
-5901< 0.1%
 
-5261< 0.1%
 
-4981< 0.1%
 
ValueCountFrequency (%) 
371.51< 0.1%
 
185.751< 0.1%
 
179.753< 0.1%
 
89.8751< 0.1%
 
51< 0.1%
 

flt_delay_time_m6
Real number (ℝ)

ZEROS

Distinct873
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.736070047
Minimum-622
Maximum371.5
Zeros20260
Zeros (%)86.5%
Memory size183.1 KiB
2021-01-21T23:27:53.098775image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-622
5-th percentile-0.5
Q10
median0
Q30
95-th percentile0.1892952129
Maximum371.5
Range993.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.54439877
Coefficient of variation (CV)-6.837237645
Kurtosis142.4686021
Mean-3.736070047
Median Absolute Deviation (MAD)0
Skewness-9.863867185
Sum-87543.59333
Variance652.5163083
MonotocityNot monotonic
2021-01-21T23:27:53.239479image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02026086.5%
 
0.253251.4%
 
0.52651.1%
 
-0.252301.0%
 
0.3333333331050.4%
 
-0.5980.4%
 
0.2790.3%
 
1760.3%
 
0.166666667690.3%
 
0.125680.3%
 
Other values (863)18577.9%
 
ValueCountFrequency (%) 
-6222< 0.1%
 
-5981< 0.1%
 
-5901< 0.1%
 
-5261< 0.1%
 
-4981< 0.1%
 
ValueCountFrequency (%) 
371.51< 0.1%
 
185.751< 0.1%
 
179.753< 0.1%
 
89.8751< 0.1%
 
51< 0.1%
 

flt_delay_time_y1
Real number (ℝ)

ZEROS

Distinct852
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.653711206
Minimum-622
Maximum371.5
Zeros20328
Zeros (%)86.8%
Memory size183.1 KiB
2021-01-21T23:27:53.369638image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-622
5-th percentile-0.5
Q10
median0
Q30
95-th percentile0.2
Maximum371.5
Range993.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.35038199
Coefficient of variation (CV)-6.938255534
Kurtosis146.3423744
Mean-3.653711206
Median Absolute Deviation (MAD)0
Skewness-10.00062074
Sum-85613.76098
Variance642.6418673
MonotocityNot monotonic
2021-01-21T23:27:53.497298image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02032886.8%
 
0.253291.4%
 
0.52651.1%
 
-0.252200.9%
 
0.3333333331060.5%
 
-0.5910.4%
 
0.2790.3%
 
1760.3%
 
0.166666667700.3%
 
0.125670.3%
 
Other values (842)18017.7%
 
ValueCountFrequency (%) 
-6222< 0.1%
 
-5981< 0.1%
 
-5901< 0.1%
 
-5261< 0.1%
 
-4981< 0.1%
 
ValueCountFrequency (%) 
371.51< 0.1%
 
185.751< 0.1%
 
179.753< 0.1%
 
89.8751< 0.1%
 
51< 0.1%
 

flt_delay_time_y2
Real number (ℝ)

ZEROS

Distinct719
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.960690148
Minimum-622
Maximum371.5
Zeros20782
Zeros (%)88.7%
Memory size183.1 KiB
2021-01-21T23:27:53.642909image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-622
5-th percentile0
Q10
median0
Q30
95-th percentile0.2
Maximum371.5
Range993.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.49448229
Coefficient of variation (CV)-7.935474877
Kurtosis186.6967105
Mean-2.960690148
Median Absolute Deviation (MAD)0
Skewness-11.29766052
Sum-69374.89155
Variance551.9906979
MonotocityNot monotonic
2021-01-21T23:27:53.785528image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02078288.7%
 
0.253511.5%
 
0.52781.2%
 
0.3333333331060.5%
 
0.2810.3%
 
1800.3%
 
0.125770.3%
 
0.166666667730.3%
 
-0.25440.2%
 
0.75380.2%
 
Other values (709)15226.5%
 
ValueCountFrequency (%) 
-6222< 0.1%
 
-5981< 0.1%
 
-5901< 0.1%
 
-5261< 0.1%
 
-4981< 0.1%
 
ValueCountFrequency (%) 
371.51< 0.1%
 
185.751< 0.1%
 
179.753< 0.1%
 
89.8751< 0.1%
 
51< 0.1%
 

flt_delay_time_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct194
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08352756045
Minimum0
Maximum371.5
Zeros21438
Zeros (%)91.5%
Memory size183.1 KiB
2021-01-21T23:27:53.913187image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.25
Maximum371.5
Range371.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.444468136
Coefficient of variation (CV)41.23750433
Kurtosis7096.461908
Mean0.08352756045
Median Absolute Deviation (MAD)0
Skewness79.1271008
Sum1957.217797
Variance11.86436074
MonotocityNot monotonic
2021-01-21T23:27:54.046829image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02143891.5%
 
0.253931.7%
 
0.52861.2%
 
0.3333333331100.5%
 
0.2940.4%
 
0.125860.4%
 
1830.4%
 
0.166666667790.3%
 
0.142857143470.2%
 
0.75420.2%
 
Other values (184)7743.3%
 
ValueCountFrequency (%) 
02143891.5%
 
0.0123456791< 0.1%
 
0.0153846152< 0.1%
 
0.0204081631< 0.1%
 
0.0227272732< 0.1%
 
ValueCountFrequency (%) 
371.51< 0.1%
 
185.751< 0.1%
 
179.753< 0.1%
 
89.8751< 0.1%
 
51< 0.1%
 

rest_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

rest_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

rest_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

rest_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

rest_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pref_orig_city_m3
Categorical

HIGH CARDINALITY

Distinct76
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22495 
Shanghai
 
347
SYDNEY
 
145
New York
 
107
Los Angeles
 
53
Other values (71)
 
285
ValueCountFrequency (%) 
02249596.0%
 
Shanghai3471.5%
 
SYDNEY1450.6%
 
New York1070.5%
 
Los Angeles530.2%
 
Kunming190.1%
 
Seoul170.1%
 
Beijing170.1%
 
Hangzhou150.1%
 
Wuhan130.1%
 
Other values (66)2040.9%
 
2021-01-21T23:27:54.208486image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)0.1%

pref_orig_city_m6
Categorical

HIGH CARDINALITY

Distinct90
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21882 
Shanghai
 
638
SYDNEY
 
234
New York
 
171
Los Angeles
 
79
Other values (85)
 
428
ValueCountFrequency (%) 
02188293.4%
 
Shanghai6382.7%
 
SYDNEY2341.0%
 
New York1710.7%
 
Los Angeles790.3%
 
Beijing310.1%
 
BANGKOK260.1%
 
Kunming250.1%
 
Wuhan240.1%
 
Hangzhou230.1%
 
Other values (80)2991.3%
 
2021-01-21T23:27:54.354122image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_orig_city_y1
Categorical

HIGH CARDINALITY

Distinct102
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20327 
Shanghai
 
1442
New York
 
437
SYDNEY
 
372
Los Angeles
 
213
Other values (97)
 
641
ValueCountFrequency (%) 
02032786.7%
 
Shanghai14426.2%
 
New York4371.9%
 
SYDNEY3721.6%
 
Los Angeles2130.9%
 
Beijing480.2%
 
Wuhan370.2%
 
Nanjing350.1%
 
Kunming340.1%
 
Hong Kong-Hlpt310.1%
 
Other values (92)4561.9%
 
2021-01-21T23:27:54.504718image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique25 ?
Unique (%)0.1%

pref_orig_city_y2
Categorical

HIGH CARDINALITY

Distinct104
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15962 
Shanghai
4406 
New York
 
907
SYDNEY
 
650
Los Angeles
 
494
Other values (99)
 
1013
ValueCountFrequency (%) 
01596268.1%
 
Shanghai440618.8%
 
New York9073.9%
 
SYDNEY6502.8%
 
Los Angeles4942.1%
 
BANGKOK820.3%
 
Beijing650.3%
 
Seoul610.3%
 
Hong Kong-Hlpt460.2%
 
Kunming370.2%
 
Other values (94)7223.1%
 
2021-01-21T23:27:54.709043image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_orig_city_y3
Categorical

HIGH CARDINALITY

Distinct102
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
Shanghai
5783 
New York
 
1052
Los Angeles
 
720
SYDNEY
 
651
Other values (97)
 
1050
ValueCountFrequency (%) 
01417660.5%
 
Shanghai578324.7%
 
New York10524.5%
 
Los Angeles7203.1%
 
SYDNEY6512.8%
 
BANGKOK910.4%
 
Beijing680.3%
 
Seoul520.2%
 
Hong Kong-Hlpt520.2%
 
Kunming450.2%
 
Other values (92)7423.2%
 
2021-01-21T23:27:54.865624image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_dest_city_m3
Categorical

HIGH CARDINALITY

Distinct77
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22658 
Shanghai
 
288
SYDNEY
 
106
New York
 
94
Los Angeles
 
56
Other values (72)
 
230
ValueCountFrequency (%) 
02265896.7%
 
Shanghai2881.2%
 
SYDNEY1060.5%
 
New York940.4%
 
Los Angeles560.2%
 
Beijing270.1%
 
Guangzhou9< 0.1%
 
BANGKOK9< 0.1%
 
Xi'an9< 0.1%
 
Nanjing8< 0.1%
 
Other values (67)1680.7%
 
2021-01-21T23:27:55.019212image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_dest_city_m6
Categorical

HIGH CARDINALITY

Distinct90
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22165 
Shanghai
 
458
SYDNEY
 
171
New York
 
163
Los Angeles
 
93
Other values (85)
 
382
ValueCountFrequency (%) 
02216594.6%
 
Shanghai4582.0%
 
SYDNEY1710.7%
 
New York1630.7%
 
Los Angeles930.4%
 
Beijing400.2%
 
TAIPEI190.1%
 
Kunming180.1%
 
Hangzhou140.1%
 
BANGKOK140.1%
 
Other values (80)2771.2%
 
2021-01-21T23:27:55.155849image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique28 ?
Unique (%)0.1%

pref_dest_city_y1
Categorical

HIGH CARDINALITY

Distinct94
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20873 
Shanghai
 
1068
SYDNEY
 
373
New York
 
336
Los Angeles
 
144
Other values (89)
 
638
ValueCountFrequency (%) 
02087389.1%
 
Shanghai10684.6%
 
SYDNEY3731.6%
 
New York3361.4%
 
Los Angeles1440.6%
 
Seoul490.2%
 
Beijing470.2%
 
TAIPEI370.2%
 
Kunming300.1%
 
Nanjing210.1%
 
Other values (84)4541.9%
 
2021-01-21T23:27:55.294478image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique18 ?
Unique (%)0.1%

pref_dest_city_y2
Categorical

HIGH CARDINALITY

Distinct95
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17010 
Shanghai
3584 
New York
 
924
SYDNEY
 
718
Los Angeles
 
517
Other values (90)
 
679
ValueCountFrequency (%) 
01701072.6%
 
Shanghai358415.3%
 
New York9243.9%
 
SYDNEY7183.1%
 
Los Angeles5172.2%
 
Beijing480.2%
 
TAIPEI440.2%
 
Wuhan350.1%
 
Kunming350.1%
 
BANGKOK330.1%
 
Other values (85)4842.1%
 
2021-01-21T23:27:55.446073image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_dest_city_y3
Categorical

HIGH CARDINALITY

Distinct89
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15622 
Shanghai
4721 
New York
 
993
SYDNEY
 
737
Los Angeles
 
642
Other values (84)
 
717
ValueCountFrequency (%) 
01562266.7%
 
Shanghai472120.1%
 
New York9934.2%
 
SYDNEY7373.1%
 
Los Angeles6422.7%
 
BANGKOK520.2%
 
Beijing510.2%
 
TAIPEI460.2%
 
Seoul400.2%
 
Kunming390.2%
 
Other values (79)4892.1%
 
2021-01-21T23:27:55.619609image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique20 ?
Unique (%)0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
1
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
11< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23430 
1
 
2
ValueCountFrequency (%) 
023430> 99.9%
 
12< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23430 
1
 
2
ValueCountFrequency (%) 
023430> 99.9%
 
12< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23428 
1
 
4
ValueCountFrequency (%) 
023428> 99.9%
 
14< 0.1%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23415 
1
 
15
2
 
2
ValueCountFrequency (%) 
02341599.9%
 
1150.1%
 
22< 0.1%
 
2021-01-21T23:27:55.760231image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

flt_bag_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0630761352
Minimum0
Maximum21
Zeros22635
Zeros (%)96.6%
Memory size183.1 KiB
2021-01-21T23:27:55.902896image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4260305209
Coefficient of variation (CV)6.754226769
Kurtosis367.8405121
Mean0.0630761352
Median Absolute Deviation (MAD)0
Skewness13.49006946
Sum1478
Variance0.1815020047
MonotocityNot monotonic
2021-01-21T23:27:55.994673image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
02263596.6%
 
14231.8%
 
22220.9%
 
3670.3%
 
4600.3%
 
5140.1%
 
65< 0.1%
 
122< 0.1%
 
101< 0.1%
 
81< 0.1%
 
Other values (2)2< 0.1%
 
ValueCountFrequency (%) 
02263596.6%
 
14231.8%
 
22220.9%
 
3670.3%
 
4600.3%
 
ValueCountFrequency (%) 
211< 0.1%
 
122< 0.1%
 
101< 0.1%
 
81< 0.1%
 
71< 0.1%
 

flt_bag_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.122994196
Minimum0
Maximum31
Zeros22115
Zeros (%)94.4%
Memory size183.1 KiB
2021-01-21T23:27:56.086429image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6802207729
Coefficient of variation (CV)5.530511156
Kurtosis365.1752342
Mean0.122994196
Median Absolute Deviation (MAD)0
Skewness13.22077579
Sum2882
Variance0.4627002999
MonotocityNot monotonic
2021-01-21T23:27:56.175192image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
02211594.4%
 
15802.5%
 
23801.6%
 
31530.7%
 
41210.5%
 
5290.1%
 
6250.1%
 
7130.1%
 
105< 0.1%
 
83< 0.1%
 
Other values (6)8< 0.1%
 
ValueCountFrequency (%) 
02211594.4%
 
15802.5%
 
23801.6%
 
31530.7%
 
41210.5%
 
ValueCountFrequency (%) 
311< 0.1%
 
271< 0.1%
 
163< 0.1%
 
131< 0.1%
 
111< 0.1%
 

flt_bag_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3776886309
Minimum0
Maximum70
Zeros20735
Zeros (%)88.5%
Memory size183.1 KiB
2021-01-21T23:27:56.299495image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.578680024
Coefficient of variation (CV)4.179845234
Kurtosis263.3242023
Mean0.3776886309
Median Absolute Deviation (MAD)0
Skewness11.14544479
Sum8850
Variance2.492230618
MonotocityNot monotonic
2021-01-21T23:27:56.411194image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
02073588.5%
 
28743.7%
 
16312.7%
 
44742.0%
 
33161.3%
 
5980.4%
 
6850.4%
 
8450.2%
 
7440.2%
 
19330.1%
 
Other values (16)970.4%
 
ValueCountFrequency (%) 
02073588.5%
 
16312.7%
 
28743.7%
 
33161.3%
 
44742.0%
 
ValueCountFrequency (%) 
701< 0.1%
 
451< 0.1%
 
411< 0.1%
 
291< 0.1%
 
281< 0.1%
 

flt_bag_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct47
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.224607375
Minimum0
Maximum123
Zeros16777
Zeros (%)71.6%
Memory size183.1 KiB
2021-01-21T23:27:56.532401image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum123
Range123
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.434349202
Coefficient of variation (CV)2.804449225
Kurtosis215.1395723
Mean1.224607375
Median Absolute Deviation (MAD)0
Skewness10.55173047
Sum28695
Variance11.79475444
MonotocityNot monotonic
2021-01-21T23:27:56.676140image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
01677771.6%
 
218067.7%
 
417967.7%
 
17553.2%
 
37493.2%
 
53411.5%
 
63211.4%
 
82311.0%
 
71700.7%
 
9930.4%
 
Other values (37)3931.7%
 
ValueCountFrequency (%) 
01677771.6%
 
17553.2%
 
218067.7%
 
37493.2%
 
417967.7%
 
ValueCountFrequency (%) 
1231< 0.1%
 
1181< 0.1%
 
911< 0.1%
 
631< 0.1%
 
611< 0.1%
 

flt_bag_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct58
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.757468419
Minimum0
Maximum205
Zeros15133
Zeros (%)64.6%
Memory size183.1 KiB
2021-01-21T23:27:56.821751image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum205
Range205
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.656025676
Coefficient of variation (CV)2.649279853
Kurtosis293.8912516
Mean1.757468419
Median Absolute Deviation (MAD)0
Skewness12.00871364
Sum41181
Variance21.67857509
MonotocityNot monotonic
2021-01-21T23:27:56.957388image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01513364.6%
 
421869.3%
 
219858.5%
 
39764.2%
 
17213.1%
 
65022.1%
 
54281.8%
 
83701.6%
 
72691.1%
 
91570.7%
 
Other values (48)7053.0%
 
ValueCountFrequency (%) 
01513364.6%
 
17213.1%
 
219858.5%
 
39764.2%
 
421869.3%
 
ValueCountFrequency (%) 
2051< 0.1%
 
1461< 0.1%
 
1331< 0.1%
 
961< 0.1%
 
791< 0.1%
 

complain_cnt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006316148856
Minimum0
Maximum7
Zeros23361
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:27:57.071084image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1384392677
Coefficient of variation (CV)21.91830352
Kurtosis1100.945787
Mean0.006316148856
Median Absolute Deviation (MAD)0
Skewness30.04176815
Sum148
Variance0.01916543084
MonotocityNot monotonic
2021-01-21T23:27:57.154860image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02336199.7%
 
1300.1%
 
2260.1%
 
55< 0.1%
 
35< 0.1%
 
43< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
02336199.7%
 
1300.1%
 
2260.1%
 
35< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
72< 0.1%
 
55< 0.1%
 
43< 0.1%
 
35< 0.1%
 
2260.1%
 

complain_cnt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006870945715
Minimum0
Maximum7
Zeros23354
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:27:57.245616image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1440042325
Coefficient of variation (CV)20.95842966
Kurtosis990.4891781
Mean0.006870945715
Median Absolute Deviation (MAD)0
Skewness28.57118272
Sum161
Variance0.02073721897
MonotocityNot monotonic
2021-01-21T23:27:57.333698image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02335499.7%
 
1350.1%
 
2260.1%
 
55< 0.1%
 
45< 0.1%
 
35< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
02335499.7%
 
1350.1%
 
2260.1%
 
35< 0.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
72< 0.1%
 
55< 0.1%
 
45< 0.1%
 
35< 0.1%
 
2260.1%
 

complain_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007340389211
Minimum0
Maximum7
Zeros23347
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:27:57.420466image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1467700202
Coefficient of variation (CV)19.99485531
Kurtosis923.4173057
Mean0.007340389211
Median Absolute Deviation (MAD)0
Skewness27.4438499
Sum172
Variance0.02154143882
MonotocityNot monotonic
2021-01-21T23:27:57.512221image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02334799.6%
 
1380.2%
 
2300.1%
 
55< 0.1%
 
45< 0.1%
 
35< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
02334799.6%
 
1380.2%
 
2300.1%
 
35< 0.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
72< 0.1%
 
55< 0.1%
 
45< 0.1%
 
35< 0.1%
 
2300.1%
 

complain_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008962103107
Minimum0
Maximum7
Zeros23333
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:27:57.606968image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1639893017
Coefficient of variation (CV)18.29808246
Kurtosis692.0317791
Mean0.008962103107
Median Absolute Deviation (MAD)0
Skewness24.05101213
Sum210
Variance0.02689249107
MonotocityNot monotonic
2021-01-21T23:27:57.688750image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02333399.6%
 
1420.2%
 
2320.1%
 
411< 0.1%
 
37< 0.1%
 
55< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
02333399.6%
 
1420.2%
 
2320.1%
 
37< 0.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
72< 0.1%
 
55< 0.1%
 
411< 0.1%
 
37< 0.1%
 
2320.1%
 

complain_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01054114032
Minimum0
Maximum7
Zeros23304
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:27:57.779507image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1711559759
Coefficient of variation (CV)16.23695071
Kurtosis594.1107868
Mean0.01054114032
Median Absolute Deviation (MAD)0
Skewness22.04178556
Sum247
Variance0.02929436807
MonotocityNot monotonic
2021-01-21T23:27:57.866275image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02330499.5%
 
1650.3%
 
2360.2%
 
411< 0.1%
 
39< 0.1%
 
55< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
02330499.5%
 
1650.3%
 
2360.2%
 
39< 0.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
72< 0.1%
 
55< 0.1%
 
411< 0.1%
 
39< 0.1%
 
2360.2%
 

noshow_rate_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002578890896
Minimum0
Maximum0.5
Zeros23397
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:27:57.957033image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.5
Range0.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007435088479
Coefficient of variation (CV)28.83056624
Kurtosis2060.235502
Mean0.0002578890896
Median Absolute Deviation (MAD)0
Skewness39.54392117
Sum6.042857147
Variance5.528054069e-05
MonotocityNot monotonic
2021-01-21T23:27:58.047790image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02339799.9%
 
0.142857143290.1%
 
0.22< 0.1%
 
0.252< 0.1%
 
0.52< 0.1%
 
ValueCountFrequency (%) 
02339799.9%
 
0.142857143290.1%
 
0.22< 0.1%
 
0.252< 0.1%
 
0.52< 0.1%
 
ValueCountFrequency (%) 
0.52< 0.1%
 
0.252< 0.1%
 
0.22< 0.1%
 
0.142857143290.1%
 
02339799.9%
 

noshow_rate_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004276109691
Minimum0
Maximum1
Zeros23383
Zeros (%)99.8%
Memory size183.1 KiB
2021-01-21T23:27:58.138547image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01456217682
Coefficient of variation (CV)34.0547317
Kurtosis3149.206967
Mean0.0004276109691
Median Absolute Deviation (MAD)0
Skewness51.84390693
Sum10.01978023
Variance0.0002120569938
MonotocityNot monotonic
2021-01-21T23:27:58.235289image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02338399.8%
 
0.066666667290.1%
 
0.3333333335< 0.1%
 
0.54< 0.1%
 
13< 0.1%
 
0.253< 0.1%
 
0.1428571431< 0.1%
 
0.0833333331< 0.1%
 
0.1666666671< 0.1%
 
0.0769230771< 0.1%
 
ValueCountFrequency (%) 
02338399.8%
 
0.066666667290.1%
 
0.0769230771< 0.1%
 
0.0833333331< 0.1%
 
0.1428571431< 0.1%
 
ValueCountFrequency (%) 
13< 0.1%
 
0.54< 0.1%
 
0.3333333335< 0.1%
 
0.253< 0.1%
 
0.21< 0.1%
 

noshow_rate_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007636011332
Minimum0
Maximum1
Zeros23342
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:27:58.332029image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01708854851
Coefficient of variation (CV)22.3788936
Kurtosis1710.482229
Mean0.0007636011332
Median Absolute Deviation (MAD)0
Skewness35.97995414
Sum17.89270175
Variance0.0002920184902
MonotocityNot monotonic
2021-01-21T23:27:58.429769image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
02334299.6%
 
0.058823529290.1%
 
0.333333333140.1%
 
0.25120.1%
 
0.27< 0.1%
 
0.1666666676< 0.1%
 
0.53< 0.1%
 
13< 0.1%
 
0.1428571433< 0.1%
 
0.1111111112< 0.1%
 
Other values (11)11< 0.1%
 
ValueCountFrequency (%) 
02334299.6%
 
0.0243902441< 0.1%
 
0.0270270271< 0.1%
 
0.0322580651< 0.1%
 
0.0333333331< 0.1%
 
ValueCountFrequency (%) 
13< 0.1%
 
0.53< 0.1%
 
0.333333333140.1%
 
0.31< 0.1%
 
0.25120.1%
 

noshow_rate_y2
Real number (ℝ≥0)

ZEROS

Distinct38
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002020049633
Minimum0
Maximum1
Zeros23196
Zeros (%)99.0%
Memory size183.1 KiB
2021-01-21T23:27:58.554435image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02522216969
Coefficient of variation (CV)12.48591583
Kurtosis459.1292764
Mean0.002020049633
Median Absolute Deviation (MAD)0
Skewness18.06045631
Sum47.33380299
Variance0.0006361578439
MonotocityNot monotonic
2021-01-21T23:27:58.679197image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
02319699.0%
 
0.25760.3%
 
0.029850746290.1%
 
0.2200.1%
 
0.333333333150.1%
 
0.5140.1%
 
0.12510< 0.1%
 
0.16666666710< 0.1%
 
0.14285714310< 0.1%
 
0.1111111115< 0.1%
 
Other values (28)470.2%
 
ValueCountFrequency (%) 
02319699.0%
 
0.0112359551< 0.1%
 
0.0133333331< 0.1%
 
0.0144927541< 0.1%
 
0.0156252< 0.1%
 
ValueCountFrequency (%) 
13< 0.1%
 
0.5140.1%
 
0.333333333150.1%
 
0.3181818181< 0.1%
 
0.2857142862< 0.1%
 

noshow_rate_y3
Real number (ℝ≥0)

ZEROS

Distinct49
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002234417944
Minimum0
Maximum1
Zeros23138
Zeros (%)98.7%
Memory size183.1 KiB
2021-01-21T23:27:58.809679image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02544318522
Coefficient of variation (CV)11.38694096
Kurtosis427.1491108
Mean0.002234417944
Median Absolute Deviation (MAD)0
Skewness17.0680312
Sum52.35688126
Variance0.0006473556739
MonotocityNot monotonic
2021-01-21T23:27:58.947311image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%) 
02313898.7%
 
0.25850.4%
 
0.2300.1%
 
0.021052632150.1%
 
0.333333333150.1%
 
0.021978022140.1%
 
0.142857143130.1%
 
0.166666667120.1%
 
0.125120.1%
 
0.511< 0.1%
 
Other values (39)870.4%
 
ValueCountFrequency (%) 
02313898.7%
 
0.007299271< 0.1%
 
0.0088495581< 0.1%
 
0.0104166671< 0.1%
 
0.0106382981< 0.1%
 
ValueCountFrequency (%) 
13< 0.1%
 
0.511< 0.1%
 
0.333333333150.1%
 
0.25850.4%
 
0.2222222223< 0.1%
 

tkt_3y_amt
Real number (ℝ)

ZEROS

Distinct6864
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4184.906656
Minimum-871.3
Maximum279564.67
Zeros14247
Zeros (%)60.8%
Memory size183.1 KiB
2021-01-21T23:27:59.080954image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-871.3
5-th percentile0
Q10
median0
Q32879.88
95-th percentile19407.08
Maximum279564.67
Range280435.97
Interquartile range (IQR)2879.88

Descriptive statistics

Standard deviation14273.01742
Coefficient of variation (CV)3.410593973
Kurtosis93.71594016
Mean4184.906656
Median Absolute Deviation (MAD)0
Skewness8.238313244
Sum98060732.77
Variance203719026.3
MonotocityNot monotonic
2021-01-21T23:27:59.217588image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01424760.8%
 
109466.4300.1%
 
1329.86150.1%
 
1103.3120.1%
 
2260.7611< 0.1%
 
906.511< 0.1%
 
994.511< 0.1%
 
2246.2810< 0.1%
 
178682.4610< 0.1%
 
132610< 0.1%
 
Other values (6854)906538.7%
 
ValueCountFrequency (%) 
-871.31< 0.1%
 
-845.882< 0.1%
 
-296.61< 0.1%
 
01424760.8%
 
9.242< 0.1%
 
ValueCountFrequency (%) 
279564.671< 0.1%
 
276620.313< 0.1%
 
246552.752< 0.1%
 
246416.921< 0.1%
 
222511.082< 0.1%
 

tkt_avg_amt
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

tkt_d_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct174
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.47753969
Minimum0
Maximum24620
Zeros23196
Zeros (%)99.0%
Memory size183.1 KiB
2021-01-21T23:27:59.356218image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum24620
Range24620
Interquartile range (IQR)0

Descriptive statistics

Standard deviation397.7367901
Coefficient of variation (CV)19.42307505
Kurtosis1945.907008
Mean20.47753969
Median Absolute Deviation (MAD)0
Skewness38.90284808
Sum479829.71
Variance158194.5542
MonotocityNot monotonic
2021-01-21T23:27:59.555791image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02319699.0%
 
1047.738< 0.1%
 
4804< 0.1%
 
19903< 0.1%
 
20003< 0.1%
 
14803< 0.1%
 
136.323< 0.1%
 
716.23< 0.1%
 
61103< 0.1%
 
7403< 0.1%
 
Other values (164)2030.9%
 
ValueCountFrequency (%) 
02319699.0%
 
19.822< 0.1%
 
24.241< 0.1%
 
39.232< 0.1%
 
39.711< 0.1%
 
ValueCountFrequency (%) 
246202< 0.1%
 
188201< 0.1%
 
186001< 0.1%
 
178901< 0.1%
 
102601< 0.1%
 

tkt_d_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct315
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.99710908
Minimum0
Maximum45920
Zeros23007
Zeros (%)98.2%
Memory size183.1 KiB
2021-01-21T23:27:59.684447image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45920
Range45920
Interquartile range (IQR)0

Descriptive statistics

Standard deviation794.9857558
Coefficient of variation (CV)16.91563101
Kurtosis1799.847526
Mean46.99710908
Median Absolute Deviation (MAD)0
Skewness37.53800714
Sum1101236.26
Variance632002.3519
MonotocityNot monotonic
2021-01-21T23:27:59.896510image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02300798.2%
 
1047.738< 0.1%
 
23.198< 0.1%
 
15606< 0.1%
 
287.554< 0.1%
 
24.64< 0.1%
 
18904< 0.1%
 
19904< 0.1%
 
27204< 0.1%
 
7404< 0.1%
 
Other values (305)3791.6%
 
ValueCountFrequency (%) 
02300798.2%
 
12.42< 0.1%
 
19.822< 0.1%
 
23.198< 0.1%
 
23.621< 0.1%
 
ValueCountFrequency (%) 
459202< 0.1%
 
400701< 0.1%
 
389001< 0.1%
 
372301< 0.1%
 
279501< 0.1%
 

tkt_d_amt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct616
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.0640688
Minimum0
Maximum98320
Zeros22584
Zeros (%)96.4%
Memory size183.1 KiB
2021-01-21T23:28:00.030153image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum98320
Range98320
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1629.558863
Coefficient of variation (CV)14.94129901
Kurtosis1787.06884
Mean109.0640688
Median Absolute Deviation (MAD)0
Skewness37.27477625
Sum2555589.26
Variance2655462.088
MonotocityNot monotonic
2021-01-21T23:28:00.170777image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02258496.4%
 
601.89290.1%
 
1645.358< 0.1%
 
318.038< 0.1%
 
8306< 0.1%
 
4455.366< 0.1%
 
2199.345< 0.1%
 
64.885< 0.1%
 
176.844< 0.1%
 
24.64< 0.1%
 
Other values (606)7733.3%
 
ValueCountFrequency (%) 
02258496.4%
 
9.911< 0.1%
 
12.42< 0.1%
 
14.761< 0.1%
 
19.822< 0.1%
 
ValueCountFrequency (%) 
983201< 0.1%
 
869801< 0.1%
 
848402< 0.1%
 
659101< 0.1%
 
517701< 0.1%
 

tkt_d_amt_y2
Real number (ℝ)

SKEWED
ZEROS

Distinct1451
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean246.2473873
Minimum-86.2
Maximum173750
Zeros21487
Zeros (%)91.7%
Memory size183.1 KiB
2021-01-21T23:28:00.309406image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-86.2
5-th percentile0
Q10
median0
Q30
95-th percentile387.52
Maximum173750
Range173836.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3102.228545
Coefficient of variation (CV)12.59801608
Kurtosis1553.552015
Mean246.2473873
Median Absolute Deviation (MAD)0
Skewness34.48081088
Sum5770068.78
Variance9623821.944
MonotocityNot monotonic
2021-01-21T23:28:00.446042image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02148791.7%
 
1556.61290.1%
 
55010< 0.1%
 
1645.358< 0.1%
 
370.688< 0.1%
 
12807< 0.1%
 
387.526< 0.1%
 
9188.636< 0.1%
 
3869.345< 0.1%
 
64.885< 0.1%
 
Other values (1441)18617.9%
 
ValueCountFrequency (%) 
-86.21< 0.1%
 
02148791.7%
 
15.391< 0.1%
 
16.511< 0.1%
 
18.91< 0.1%
 
ValueCountFrequency (%) 
1737501< 0.1%
 
1665201< 0.1%
 
1555902< 0.1%
 
1248401< 0.1%
 
98066.921< 0.1%
 

tkt_d_amt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1815
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330.5911096
Minimum0
Maximum221680
Zeros21053
Zeros (%)89.8%
Memory size183.1 KiB
2021-01-21T23:28:00.584671image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile751.783
Maximum221680
Range221680
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3952.920569
Coefficient of variation (CV)11.95712908
Kurtosis1436.726541
Mean330.5911096
Median Absolute Deviation (MAD)0
Skewness33.17186656
Sum7746410.88
Variance15625581.03
MonotocityNot monotonic
2021-01-21T23:28:00.717317image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02105389.8%
 
1556.61290.1%
 
1755.538< 0.1%
 
370.688< 0.1%
 
5507< 0.1%
 
12806< 0.1%
 
12406< 0.1%
 
387.526< 0.1%
 
9641.286< 0.1%
 
3869.345< 0.1%
 
Other values (1805)22989.8%
 
ValueCountFrequency (%) 
02105389.8%
 
15.391< 0.1%
 
16.511< 0.1%
 
18.91< 0.1%
 
21.881< 0.1%
 
ValueCountFrequency (%) 
2216801< 0.1%
 
1954401< 0.1%
 
1936102< 0.1%
 
1596101< 0.1%
 
131475.71< 0.1%
 

tkt_i_amt_m3
Real number (ℝ≥0)

ZEROS

Distinct425
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.9045306
Minimum0
Maximum47614.05
Zeros22823
Zeros (%)97.4%
Memory size183.1 KiB
2021-01-21T23:28:00.847967image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum47614.05
Range47614.05
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1633.480706
Coefficient of variation (CV)10.27963583
Kurtosis278.9051389
Mean158.9045306
Median Absolute Deviation (MAD)0
Skewness15.40615544
Sum3723450.96
Variance2668259.217
MonotocityNot monotonic
2021-01-21T23:28:00.987663image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02282397.4%
 
29133.23290.1%
 
4785.838< 0.1%
 
2915.876< 0.1%
 
18411.796< 0.1%
 
2340.535< 0.1%
 
1708.114< 0.1%
 
25204< 0.1%
 
2618.634< 0.1%
 
1521.054< 0.1%
 
Other values (415)5392.3%
 
ValueCountFrequency (%) 
02282397.4%
 
0.011< 0.1%
 
43.951< 0.1%
 
971< 0.1%
 
1001< 0.1%
 
ValueCountFrequency (%) 
47614.052< 0.1%
 
42682.071< 0.1%
 
39411.981< 0.1%
 
304801< 0.1%
 
29133.23290.1%
 

tkt_i_amt_m6
Real number (ℝ≥0)

ZEROS

Distinct753
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean313.6310533
Minimum0
Maximum69263.19
Zeros22388
Zeros (%)95.5%
Memory size183.1 KiB
2021-01-21T23:28:01.121088image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum69263.19
Range69263.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2603.872355
Coefficient of variation (CV)8.302342283
Kurtosis218.5723028
Mean313.6310533
Median Absolute Deviation (MAD)0
Skewness13.48341147
Sum7349002.84
Variance6780151.24
MonotocityNot monotonic
2021-01-21T23:28:01.251737image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02238895.5%
 
44527.34290.1%
 
4785.838< 0.1%
 
2674.138< 0.1%
 
18411.796< 0.1%
 
7883.216< 0.1%
 
2915.876< 0.1%
 
2375.375< 0.1%
 
2340.535< 0.1%
 
19810.835< 0.1%
 
Other values (743)9664.1%
 
ValueCountFrequency (%) 
02238895.5%
 
0.011< 0.1%
 
43.951< 0.1%
 
54.481< 0.1%
 
971< 0.1%
 
ValueCountFrequency (%) 
69263.192< 0.1%
 
635001< 0.1%
 
48862.611< 0.1%
 
47384.361< 0.1%
 
44527.34290.1%
 

tkt_i_amt_y1
Real number (ℝ≥0)

ZEROS

Distinct1662
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean860.5154968
Minimum0
Maximum161672.56
Zeros21183
Zeros (%)90.4%
Memory size183.1 KiB
2021-01-21T23:28:01.385928image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3168.48
Maximum161672.56
Range161672.56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5580.505979
Coefficient of variation (CV)6.485073191
Kurtosis199.5981931
Mean860.5154968
Median Absolute Deviation (MAD)0
Skewness12.43713695
Sum20163599.12
Variance31142046.98
MonotocityNot monotonic
2021-01-21T23:28:01.529758image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02118390.4%
 
86859.42150.1%
 
86897.48140.1%
 
101918< 0.1%
 
5220.768< 0.1%
 
1014.756< 0.1%
 
7883.216< 0.1%
 
43986.446< 0.1%
 
2915.876< 0.1%
 
101805< 0.1%
 
Other values (1652)21759.3%
 
ValueCountFrequency (%) 
02118390.4%
 
43.951< 0.1%
 
57.61< 0.1%
 
65.221< 0.1%
 
83.233< 0.1%
 
ValueCountFrequency (%) 
161672.562< 0.1%
 
108540.141< 0.1%
 
106909.421< 0.1%
 
102864.471< 0.1%
 
99367.11< 0.1%
 

tkt_i_amt_y2
Real number (ℝ)

ZEROS

Distinct4616
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2677.392222
Minimum-1941.08
Maximum232310.15
Zeros17202
Zeros (%)73.4%
Memory size183.1 KiB
2021-01-21T23:28:01.716598image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-1941.08
5-th percentile0
Q10
median0
Q3898.425
95-th percentile12352.414
Maximum232310.15
Range234251.23
Interquartile range (IQR)898.425

Descriptive statistics

Standard deviation11455.45782
Coefficient of variation (CV)4.278587845
Kurtosis120.5941433
Mean2677.392222
Median Absolute Deviation (MAD)0
Skewness9.655752196
Sum62736654.55
Variance131227513.8
MonotocityNot monotonic
2021-01-21T23:28:01.849743image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01720273.4%
 
130307.1150.1%
 
994.5150.1%
 
138651.23140.1%
 
1329.86120.1%
 
132611< 0.1%
 
1400.749< 0.1%
 
54491.218< 0.1%
 
9060.228< 0.1%
 
6729.988< 0.1%
 
Other values (4606)613026.2%
 
ValueCountFrequency (%) 
-1941.081< 0.1%
 
-845.882< 0.1%
 
-439.291< 0.1%
 
-62.891< 0.1%
 
01720273.4%
 
ValueCountFrequency (%) 
232310.151< 0.1%
 
204714.972< 0.1%
 
201329.731< 0.1%
 
201238.223< 0.1%
 
198631.635< 0.1%
 

tkt_i_amt_y3
Real number (ℝ)

ZEROS

Distinct5876
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3682.160908
Minimum-845.88
Maximum345186.18
Zeros15708
Zeros (%)67.0%
Memory size183.1 KiB
2021-01-21T23:28:01.981344image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-845.88
5-th percentile0
Q10
median0
Q31954.105
95-th percentile16764.9
Maximum345186.18
Range346032.06
Interquartile range (IQR)1954.105

Descriptive statistics

Standard deviation14850.45362
Coefficient of variation (CV)4.033081115
Kurtosis126.1815428
Mean3682.160908
Median Absolute Deviation (MAD)0
Skewness9.685233706
Sum86280394.4
Variance220535972.8
MonotocityNot monotonic
2021-01-21T23:28:02.115985image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01570867.0%
 
994.5160.1%
 
177535.63150.1%
 
164891.54140.1%
 
1329.86120.1%
 
1326120.1%
 
1577.98120.1%
 
906.511< 0.1%
 
1400.749< 0.1%
 
9060.228< 0.1%
 
Other values (5866)761532.5%
 
ValueCountFrequency (%) 
-845.882< 0.1%
 
-439.291< 0.1%
 
-98.561< 0.1%
 
01570867.0%
 
10.951< 0.1%
 
ValueCountFrequency (%) 
345186.182< 0.1%
 
294971.83< 0.1%
 
292325.561< 0.1%
 
254209.411< 0.1%
 
234554.453< 0.1%
 

tkt_all_amt_m3
Real number (ℝ≥0)

ZEROS

Distinct506
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.3820702
Minimum0
Maximum50264.05
Zeros22711
Zeros (%)96.9%
Memory size183.1 KiB
2021-01-21T23:28:02.256609image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50264.05
Range50264.05
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1723.76142
Coefficient of variation (CV)9.609440995
Kurtosis253.6051031
Mean179.3820702
Median Absolute Deviation (MAD)0
Skewness14.60460631
Sum4203280.67
Variance2971353.432
MonotocityNot monotonic
2021-01-21T23:28:02.393242image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02271196.9%
 
29133.23290.1%
 
5833.568< 0.1%
 
18411.796< 0.1%
 
2915.876< 0.1%
 
2618.634< 0.1%
 
11904< 0.1%
 
25204< 0.1%
 
860.874< 0.1%
 
1521.054< 0.1%
 
Other values (496)6522.8%
 
ValueCountFrequency (%) 
02271196.9%
 
0.011< 0.1%
 
39.711< 0.1%
 
43.951< 0.1%
 
47.242< 0.1%
 
ValueCountFrequency (%) 
50264.052< 0.1%
 
42682.071< 0.1%
 
39411.981< 0.1%
 
312201< 0.1%
 
30492.891< 0.1%
 

tkt_all_amt_m6
Real number (ℝ≥0)

ZEROS

Distinct861
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360.6281623
Minimum0
Maximum71913.19
Zeros22248
Zeros (%)94.9%
Memory size183.1 KiB
2021-01-21T23:28:02.528880image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile109.221
Maximum71913.19
Range71913.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2827.597359
Coefficient of variation (CV)7.84075581
Kurtosis191.3710004
Mean360.6281623
Median Absolute Deviation (MAD)0
Skewness12.63042299
Sum8450239.1
Variance7995306.825
MonotocityNot monotonic
2021-01-21T23:28:02.656539image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02224894.9%
 
44527.34290.1%
 
5833.568< 0.1%
 
2697.328< 0.1%
 
19971.796< 0.1%
 
7883.216< 0.1%
 
2375.376< 0.1%
 
2915.876< 0.1%
 
19810.835< 0.1%
 
247004< 0.1%
 
Other values (851)11064.7%
 
ValueCountFrequency (%) 
02224894.9%
 
0.011< 0.1%
 
39.711< 0.1%
 
43.951< 0.1%
 
47.242< 0.1%
 
ValueCountFrequency (%) 
71913.192< 0.1%
 
681301< 0.1%
 
51022.611< 0.1%
 
47952.071< 0.1%
 
47384.361< 0.1%
 

tkt_all_amt_y1
Real number (ℝ≥0)

ZEROS

Distinct1786
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean969.5795656
Minimum0
Maximum165331.33
Zeros21034
Zeros (%)89.8%
Memory size183.1 KiB
2021-01-21T23:28:02.793174image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3556.867
Maximum165331.33
Range165331.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6126.472884
Coefficient of variation (CV)6.318690185
Kurtosis175.1935564
Mean969.5795656
Median Absolute Deviation (MAD)0
Skewness11.75697757
Sum22719188.38
Variance37533670
MonotocityNot monotonic
2021-01-21T23:28:02.919835image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02103489.8%
 
87461.31150.1%
 
87499.37140.1%
 
11836.358< 0.1%
 
5538.798< 0.1%
 
2915.876< 0.1%
 
7883.216< 0.1%
 
2375.376< 0.1%
 
1014.756< 0.1%
 
48441.86< 0.1%
 
Other values (1776)23239.9%
 
ValueCountFrequency (%) 
02103489.8%
 
9.911< 0.1%
 
43.951< 0.1%
 
56.681< 0.1%
 
57.61< 0.1%
 
ValueCountFrequency (%) 
165331.332< 0.1%
 
122042.471< 0.1%
 
111119.731< 0.1%
 
108617.81< 0.1%
 
108540.141< 0.1%
 

tkt_all_amt_y2
Real number (ℝ)

ZEROS

Distinct4673
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2923.63961
Minimum-2027.28
Maximum299396.65
Zeros17112
Zeros (%)73.0%
Memory size183.1 KiB
2021-01-21T23:28:03.058465image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-2027.28
5-th percentile0
Q10
median0
Q3994.59
95-th percentile13526.499
Maximum299396.65
Range301423.93
Interquartile range (IQR)994.59

Descriptive statistics

Standard deviation12639.23037
Coefficient of variation (CV)4.323115042
Kurtosis123.0406839
Mean2923.63961
Median Absolute Deviation (MAD)0
Skewness9.692539992
Sum68506723.33
Variance159750144.5
MonotocityNot monotonic
2021-01-21T23:28:03.302228image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01711273.0%
 
131863.71150.1%
 
994.5150.1%
 
140207.84140.1%
 
1329.86120.1%
 
132611< 0.1%
 
1400.749< 0.1%
 
56136.568< 0.1%
 
2246.288< 0.1%
 
1878.268< 0.1%
 
Other values (4663)622026.5%
 
ValueCountFrequency (%) 
-2027.281< 0.1%
 
-845.882< 0.1%
 
-358.241< 0.1%
 
-62.891< 0.1%
 
01711273.0%
 
ValueCountFrequency (%) 
299396.651< 0.1%
 
238890.151< 0.1%
 
221281.082< 0.1%
 
214577.832< 0.1%
 
212728.223< 0.1%
 

tkt_all_amt_y3
Real number (ℝ)

ZEROS

Distinct5911
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4012.752018
Minimum-845.88
Maximum365826.33
Zeros15654
Zeros (%)66.8%
Memory size183.1 KiB
2021-01-21T23:28:03.445908image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-845.88
5-th percentile0
Q10
median0
Q32046.62
95-th percentile17904.351
Maximum365826.33
Range366672.21
Interquartile range (IQR)2046.62

Descriptive statistics

Standard deviation16406.78953
Coefficient of variation (CV)4.088662708
Kurtosis125.4785534
Mean4012.752018
Median Absolute Deviation (MAD)0
Skewness9.656246904
Sum94026805.28
Variance269182742.7
MonotocityNot monotonic
2021-01-21T23:28:03.586133image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01565466.8%
 
994.5160.1%
 
179092.24150.1%
 
166448.15140.1%
 
906.5120.1%
 
1329.86120.1%
 
1326120.1%
 
1577.98120.1%
 
1783.819< 0.1%
 
1400.749< 0.1%
 
Other values (5901)766732.7%
 
ValueCountFrequency (%) 
-845.882< 0.1%
 
-358.241< 0.1%
 
-98.561< 0.1%
 
01565466.8%
 
10.951< 0.1%
 
ValueCountFrequency (%) 
365826.331< 0.1%
 
355049.042< 0.1%
 
319401.971< 0.1%
 
316531.83< 0.1%
 
300395.561< 0.1%
 

tkt_avg_amt_m3
Real number (ℝ≥0)

ZEROS

Distinct536
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.39269133
Minimum0
Maximum6073.164
Zeros22711
Zeros (%)96.9%
Memory size183.1 KiB
2021-01-21T23:28:03.728736image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6073.164
Range6073.164
Interquartile range (IQR)0

Descriptive statistics

Standard deviation157.4894643
Coefficient of variation (CV)10.23144432
Kurtosis522.5438293
Mean15.39269133
Median Absolute Deviation (MAD)0
Skewness19.81922311
Sum360681.5434
Variance24802.93137
MonotocityNot monotonic
2021-01-21T23:28:03.870492image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02271196.9%
 
306.6655789150.1%
 
320.1453846140.1%
 
171.57529418< 0.1%
 
287.68421876< 0.1%
 
73.106666674< 0.1%
 
4204< 0.1%
 
84.502777784< 0.1%
 
341.6224< 0.1%
 
81.83218754< 0.1%
 
Other values (526)6582.8%
 
ValueCountFrequency (%) 
02271196.9%
 
0.000256411< 0.1%
 
4.8833333331< 0.1%
 
5.6728571431< 0.1%
 
5.8208955221< 0.1%
 
ValueCountFrequency (%) 
6073.1642< 0.1%
 
5846.271< 0.1%
 
4268.2071< 0.1%
 
4220.732< 0.1%
 
4215.721< 0.1%
 

tkt_avg_amt_m6
Real number (ℝ≥0)

ZEROS

Distinct892
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.50561203
Minimum0
Maximum7994.795
Zeros22248
Zeros (%)94.9%
Memory size183.1 KiB
2021-01-21T23:28:04.007121image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14.66752857
Maximum7994.795
Range7994.795
Interquartile range (IQR)0

Descriptive statistics

Standard deviation218.698979
Coefficient of variation (CV)7.1691392
Kurtosis278.0817428
Mean30.50561203
Median Absolute Deviation (MAD)0
Skewness13.85054946
Sum714807.501
Variance47829.24342
MonotocityNot monotonic
2021-01-21T23:28:04.142934image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02224894.9%
 
468.7088421150.1%
 
489.3114286140.1%
 
171.57529418< 0.1%
 
107.89288< 0.1%
 
1576.6426< 0.1%
 
312.05921876< 0.1%
 
861.34043485< 0.1%
 
585.83333334< 0.1%
 
84.502777784< 0.1%
 
Other values (882)11144.8%
 
ValueCountFrequency (%) 
02224894.9%
 
0.000256411< 0.1%
 
4.8833333331< 0.1%
 
5.6728571431< 0.1%
 
5.8823529411< 0.1%
 
ValueCountFrequency (%) 
7994.7951< 0.1%
 
6073.1642< 0.1%
 
5903.51< 0.1%
 
5846.271< 0.1%
 
4795.2071< 0.1%
 

tkt_avg_amt_y1
Real number (ℝ≥0)

ZEROS

Distinct1841
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.65786795
Minimum0
Maximum19485.8175
Zeros21034
Zeros (%)89.8%
Memory size183.1 KiB
2021-01-21T23:28:04.282393image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile557.3057083
Maximum19485.8175
Range19485.8175
Interquartile range (IQR)0

Descriptive statistics

Standard deviation475.1284728
Coefficient of variation (CV)5.019429267
Kurtosis232.2957999
Mean94.65786795
Median Absolute Deviation (MAD)0
Skewness11.36494051
Sum2218023.162
Variance225747.0656
MonotocityNot monotonic
2021-01-21T23:28:04.417061image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02103489.8%
 
920.6453684150.1%
 
961.5315385140.1%
 
221.55168< 0.1%
 
348.12794128< 0.1%
 
1576.6426< 0.1%
 
756.9031256< 0.1%
 
507.3756< 0.1%
 
371.4655< 0.1%
 
4259.619135< 0.1%
 
Other values (1831)23259.9%
 
ValueCountFrequency (%) 
02103489.8%
 
0.8258333331< 0.1%
 
4.8833333331< 0.1%
 
12.0141< 0.1%
 
12.083333331< 0.1%
 
ValueCountFrequency (%) 
19485.81751< 0.1%
 
11495.622< 0.1%
 
10690.9421< 0.1%
 
10222.4452< 0.1%
 
8885.1951< 0.1%
 

tkt_avg_amt_y2
Real number (ℝ)

ZEROS

Distinct4767
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449.411775
Minimum-845.88
Maximum39367.55
Zeros17112
Zeros (%)73.0%
Memory size183.1 KiB
2021-01-21T23:28:04.560663image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-845.88
5-th percentile0
Q10
median0
Q3248.625
95-th percentile2283.364071
Maximum39367.55
Range40213.43
Interquartile range (IQR)248.625

Descriptive statistics

Standard deviation1461.438029
Coefficient of variation (CV)3.251890827
Kurtosis102.5745651
Mean449.411775
Median Absolute Deviation (MAD)0
Skewness8.076440224
Sum10530616.71
Variance2135801.111
MonotocityNot monotonic
2021-01-21T23:28:04.710263image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01711273.0%
 
248.625160.1%
 
1388.039053150.1%
 
1540.745495140.1%
 
332.465120.1%
 
350.18511< 0.1%
 
331.511< 0.1%
 
226.6258< 0.1%
 
1651.0752948< 0.1%
 
469.5658< 0.1%
 
Other values (4757)621726.5%
 
ValueCountFrequency (%) 
-845.882< 0.1%
 
-289.61142861< 0.1%
 
-119.41333331< 0.1%
 
-15.72251< 0.1%
 
01711273.0%
 
ValueCountFrequency (%) 
39367.551< 0.1%
 
30361.771< 0.1%
 
28737.442< 0.1%
 
24700.332< 0.1%
 
24679.782< 0.1%
 

tkt_avg_amt_y3
Real number (ℝ)

ZEROS

Distinct5938
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean628.759016
Minimum-845.88
Maximum68469.04
Zeros15654
Zeros (%)66.8%
Memory size183.1 KiB
2021-01-21T23:28:04.857870image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-845.88
5-th percentile0
Q10
median0
Q3529.42975
95-th percentile3254.485917
Maximum68469.04
Range69314.92
Interquartile range (IQR)529.42975

Descriptive statistics

Standard deviation1765.37729
Coefficient of variation (CV)2.80771686
Kurtosis147.9111484
Mean628.759016
Median Absolute Deviation (MAD)0
Skewness8.145505931
Sum14733081.26
Variance3116556.976
MonotocityNot monotonic
2021-01-21T23:28:05.057010image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01565466.8%
 
248.625170.1%
 
1885.181474150.1%
 
1829.100549140.1%
 
394.495130.1%
 
331.5130.1%
 
226.625130.1%
 
332.465120.1%
 
350.18511< 0.1%
 
445.95259< 0.1%
 
Other values (5928)766132.7%
 
ValueCountFrequency (%) 
-845.882< 0.1%
 
-119.41333331< 0.1%
 
-32.853333331< 0.1%
 
01565466.8%
 
10.951< 0.1%
 
ValueCountFrequency (%) 
68469.041< 0.1%
 
39367.551< 0.1%
 
30361.771< 0.1%
 
28737.442< 0.1%
 
26720.58251< 0.1%
 

tkt_avg_disc_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

tkt_avg_disc_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

tkt_avg_disc_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

tkt_avg_disc_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

tkt_avg_disc_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23423 
2
 
5
1
 
4
ValueCountFrequency (%) 
023423> 99.9%
 
25< 0.1%
 
14< 0.1%
 
2021-01-21T23:28:05.184690image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

tkt_return_cnt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005675998634
Minimum0
Maximum5
Zeros23362
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:28:05.276444image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1187196955
Coefficient of variation (CV)20.91608951
Kurtosis849.5373401
Mean0.005675998634
Median Absolute Deviation (MAD)0
Skewness26.66544975
Sum133
Variance0.0140943661
MonotocityNot monotonic
2021-01-21T23:28:05.368199image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
02336299.7%
 
2290.1%
 
1290.1%
 
36< 0.1%
 
54< 0.1%
 
42< 0.1%
 
ValueCountFrequency (%) 
02336299.7%
 
1290.1%
 
2290.1%
 
36< 0.1%
 
42< 0.1%
 
ValueCountFrequency (%) 
54< 0.1%
 
42< 0.1%
 
36< 0.1%
 
2290.1%
 
1290.1%
 

tkt_return_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01839364971
Minimum0
Maximum16
Zeros23264
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:28:05.455966image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2954329459
Coefficient of variation (CV)16.06168164
Kurtosis1029.462655
Mean0.01839364971
Median Absolute Deviation (MAD)0
Skewness27.5900887
Sum431
Variance0.08728062554
MonotocityNot monotonic
2021-01-21T23:28:05.545725image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
02326499.3%
 
1640.3%
 
2540.2%
 
4250.1%
 
310< 0.1%
 
54< 0.1%
 
83< 0.1%
 
132< 0.1%
 
62< 0.1%
 
121< 0.1%
 
Other values (3)3< 0.1%
 
ValueCountFrequency (%) 
02326499.3%
 
1640.3%
 
2540.2%
 
310< 0.1%
 
4250.1%
 
ValueCountFrequency (%) 
161< 0.1%
 
132< 0.1%
 
121< 0.1%
 
101< 0.1%
 
91< 0.1%
 

tkt_return_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct19
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04869409355
Minimum0
Maximum28
Zeros23073
Zeros (%)98.5%
Memory size183.1 KiB
2021-01-21T23:28:05.650444image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5687522776
Coefficient of variation (CV)11.68010812
Kurtosis754.7930631
Mean0.04869409355
Median Absolute Deviation (MAD)0
Skewness23.06370285
Sum1141
Variance0.3234791532
MonotocityNot monotonic
2021-01-21T23:28:05.743196image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
02307398.5%
 
21280.5%
 
1930.4%
 
4590.3%
 
3260.1%
 
5150.1%
 
6120.1%
 
86< 0.1%
 
93< 0.1%
 
133< 0.1%
 
Other values (9)140.1%
 
ValueCountFrequency (%) 
02307398.5%
 
1930.4%
 
21280.5%
 
3260.1%
 
4590.3%
 
ValueCountFrequency (%) 
281< 0.1%
 
222< 0.1%
 
211< 0.1%
 
192< 0.1%
 
171< 0.1%
 

tkt_return_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07003243428
Minimum0
Maximum32
Zeros22966
Zeros (%)98.0%
Memory size183.1 KiB
2021-01-21T23:28:05.850910image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum32
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7329667594
Coefficient of variation (CV)10.46610427
Kurtosis600.4350455
Mean0.07003243428
Median Absolute Deviation (MAD)0
Skewness20.64613467
Sum1641
Variance0.5372402704
MonotocityNot monotonic
2021-01-21T23:28:05.950642image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
02296698.0%
 
21640.7%
 
11000.4%
 
4860.4%
 
3440.2%
 
6150.1%
 
5120.1%
 
810< 0.1%
 
128< 0.1%
 
74< 0.1%
 
Other values (13)230.1%
 
ValueCountFrequency (%) 
02296698.0%
 
11000.4%
 
21640.7%
 
3440.2%
 
4860.4%
 
ValueCountFrequency (%) 
321< 0.1%
 
311< 0.1%
 
261< 0.1%
 
222< 0.1%
 
202< 0.1%
 

tkt_book_cnt_m3
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008578012974
Minimum0
Maximum4
Zeros23327
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:28:06.043394image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1403088072
Coefficient of variation (CV)16.35679587
Kurtosis427.888051
Mean0.008578012974
Median Absolute Deviation (MAD)0
Skewness19.33252509
Sum201
Variance0.01968656137
MonotocityNot monotonic
2021-01-21T23:28:06.137700image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02332799.6%
 
2590.3%
 
1330.1%
 
411< 0.1%
 
32< 0.1%
 
ValueCountFrequency (%) 
02332799.6%
 
1330.1%
 
2590.3%
 
32< 0.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
411< 0.1%
 
32< 0.1%
 
2590.3%
 
1330.1%
 
02332799.6%
 

tkt_book_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08121372482
Minimum0
Maximum28
Zeros22948
Zeros (%)97.9%
Memory size183.1 KiB
2021-01-21T23:28:06.243948image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7790426995
Coefficient of variation (CV)9.592500544
Kurtosis307.9464448
Mean0.08121372482
Median Absolute Deviation (MAD)0
Skewness15.32181538
Sum1903
Variance0.6069075277
MonotocityNot monotonic
2021-01-21T23:28:06.340567image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
02294897.9%
 
21810.8%
 
1800.3%
 
4670.3%
 
3420.2%
 
12340.1%
 
5250.1%
 
7150.1%
 
6150.1%
 
85< 0.1%
 
Other values (12)200.1%
 
ValueCountFrequency (%) 
02294897.9%
 
1800.3%
 
21810.8%
 
3420.2%
 
4670.3%
 
ValueCountFrequency (%) 
281< 0.1%
 
251< 0.1%
 
202< 0.1%
 
191< 0.1%
 
171< 0.1%
 

tkt_book_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct42
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2276374189
Minimum0
Maximum77
Zeros22520
Zeros (%)96.1%
Memory size183.1 KiB
2021-01-21T23:28:06.501873image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum77
Range77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.934016557
Coefficient of variation (CV)8.496039738
Kurtosis333.983903
Mean0.2276374189
Median Absolute Deviation (MAD)0
Skewness15.68657571
Sum5334
Variance3.740420042
MonotocityNot monotonic
2021-01-21T23:28:06.622562image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%) 
02252096.1%
 
22741.2%
 
41310.6%
 
11270.5%
 
3930.4%
 
6530.2%
 
5430.2%
 
8410.2%
 
28320.1%
 
10170.1%
 
Other values (32)1010.4%
 
ValueCountFrequency (%) 
02252096.1%
 
11270.5%
 
22741.2%
 
3930.4%
 
41310.6%
 
ValueCountFrequency (%) 
771< 0.1%
 
611< 0.1%
 
471< 0.1%
 
462< 0.1%
 
451< 0.1%
 

tkt_book_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct64
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6620860362
Minimum0
Maximum162
Zeros21280
Zeros (%)90.8%
Memory size183.1 KiB
2021-01-21T23:28:06.764127image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum162
Range162
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.406001147
Coefficient of variation (CV)6.654725982
Kurtosis323.8283557
Mean0.6620860362
Median Absolute Deviation (MAD)0
Skewness15.36526972
Sum15514
Variance19.41284611
MonotocityNot monotonic
2021-01-21T23:28:06.896513image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02128090.8%
 
25592.4%
 
45582.4%
 
31920.8%
 
61490.6%
 
11280.5%
 
5920.4%
 
8890.4%
 
9460.2%
 
7440.2%
 
Other values (54)2951.3%
 
ValueCountFrequency (%) 
02128090.8%
 
11280.5%
 
25592.4%
 
31920.8%
 
45582.4%
 
ValueCountFrequency (%) 
1621< 0.1%
 
1551< 0.1%
 
1241< 0.1%
 
1031< 0.1%
 
1012< 0.1%
 

tkt_book_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9172925913
Minimum0
Maximum234
Zeros20761
Zeros (%)88.6%
Memory size183.1 KiB
2021-01-21T23:28:07.044242image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum234
Range234
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.048823707
Coefficient of variation (CV)6.594214064
Kurtosis337.8061812
Mean0.9172925913
Median Absolute Deviation (MAD)0
Skewness15.81734035
Sum21494
Variance36.58826824
MonotocityNot monotonic
2021-01-21T23:28:07.175890image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02076188.6%
 
47413.2%
 
26312.7%
 
32411.0%
 
61670.7%
 
11350.6%
 
81280.5%
 
51050.4%
 
7810.3%
 
10530.2%
 
Other values (65)3891.7%
 
ValueCountFrequency (%) 
02076188.6%
 
11350.6%
 
26312.7%
 
32411.0%
 
47413.2%
 
ValueCountFrequency (%) 
2341< 0.1%
 
1881< 0.1%
 
1771< 0.1%
 
1731< 0.1%
 
1292< 0.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23420 
1
 
8
2
 
3
3
 
1
ValueCountFrequency (%) 
02342099.9%
 
18< 0.1%
 
23< 0.1%
 
31< 0.1%
 
2021-01-21T23:28:07.296566image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

tkt_return_all_cnt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009815636736
Minimum0
Maximum12
Zeros23308
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:28:07.375356image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1728119155
Coefficient of variation (CV)17.60577741
Kurtosis1332.875072
Mean0.009815636736
Median Absolute Deviation (MAD)0
Skewness29.66891599
Sum230
Variance0.02986395816
MonotocityNot monotonic
2021-01-21T23:28:07.474093image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02330899.5%
 
1750.3%
 
2250.1%
 
4160.1%
 
54< 0.1%
 
33< 0.1%
 
121< 0.1%
 
ValueCountFrequency (%) 
02330899.5%
 
1750.3%
 
2250.1%
 
33< 0.1%
 
4160.1%
 
ValueCountFrequency (%) 
121< 0.1%
 
54< 0.1%
 
4160.1%
 
33< 0.1%
 
2250.1%
 

tkt_return_all_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02581939228
Minimum0
Maximum12
Zeros23191
Zeros (%)99.0%
Memory size183.1 KiB
2021-01-21T23:28:07.569837image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3360071823
Coefficient of variation (CV)13.01375256
Kurtosis482.590253
Mean0.02581939228
Median Absolute Deviation (MAD)0
Skewness19.63532365
Sum605
Variance0.1129008266
MonotocityNot monotonic
2021-01-21T23:28:07.675554image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
02319199.0%
 
11060.5%
 
2590.3%
 
4270.1%
 
3200.1%
 
59< 0.1%
 
77< 0.1%
 
94< 0.1%
 
113< 0.1%
 
63< 0.1%
 
Other values (2)3< 0.1%
 
ValueCountFrequency (%) 
02319199.0%
 
11060.5%
 
2590.3%
 
3200.1%
 
4270.1%
 
ValueCountFrequency (%) 
121< 0.1%
 
113< 0.1%
 
102< 0.1%
 
94< 0.1%
 
77< 0.1%
 

tkt_return_all_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06034482759
Minimum0
Maximum22
Zeros22993
Zeros (%)98.1%
Memory size183.1 KiB
2021-01-21T23:28:07.770320image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6131402373
Coefficient of variation (CV)10.16060965
Kurtosis411.6052046
Mean0.06034482759
Median Absolute Deviation (MAD)0
Skewness17.33512491
Sum1414
Variance0.3759409506
MonotocityNot monotonic
2021-01-21T23:28:07.856071image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
02299398.1%
 
21320.6%
 
11260.5%
 
3640.3%
 
4380.2%
 
10190.1%
 
5180.1%
 
6120.1%
 
88< 0.1%
 
77< 0.1%
 
Other values (7)150.1%
 
ValueCountFrequency (%) 
02299398.1%
 
11260.5%
 
21320.6%
 
3640.3%
 
4380.2%
 
ValueCountFrequency (%) 
223< 0.1%
 
182< 0.1%
 
161< 0.1%
 
131< 0.1%
 
122< 0.1%
 

tkt_return_all_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07609252305
Minimum0
Maximum27
Zeros22921
Zeros (%)97.8%
Memory size183.1 KiB
2021-01-21T23:28:07.943836image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7561035
Coefficient of variation (CV)9.936633322
Kurtosis439.0582126
Mean0.07609252305
Median Absolute Deviation (MAD)0
Skewness17.90617705
Sum1783
Variance0.5716925027
MonotocityNot monotonic
2021-01-21T23:28:08.046563image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
02292197.8%
 
21590.7%
 
11400.6%
 
3680.3%
 
4440.2%
 
5250.1%
 
10190.1%
 
6130.1%
 
129< 0.1%
 
76< 0.1%
 
Other values (10)280.1%
 
ValueCountFrequency (%) 
02292197.8%
 
11400.6%
 
21590.7%
 
3680.3%
 
4440.2%
 
ValueCountFrequency (%) 
273< 0.1%
 
241< 0.1%
 
232< 0.1%
 
161< 0.1%
 
154< 0.1%
 

tkt_avg_interval_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct33
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.30785535
Minimum0
Maximum38818.66667
Zeros23383
Zeros (%)99.8%
Memory size183.1 KiB
2021-01-21T23:28:08.163250image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum38818.66667
Range38818.66667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation613.0249964
Coefficient of variation (CV)26.3012185
Kurtosis1299.706966
Mean23.30785535
Median Absolute Deviation (MAD)0
Skewness32.55566124
Sum546149.6667
Variance375799.6463
MonotocityNot monotonic
2021-01-21T23:28:08.274951image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
02338399.8%
 
14576.3758< 0.1%
 
5548.63< 0.1%
 
122523< 0.1%
 
12723.63< 0.1%
 
7763.62< 0.1%
 
3.52< 0.1%
 
22063.333332< 0.1%
 
11538.333332< 0.1%
 
133271< 0.1%
 
Other values (23)230.1%
 
ValueCountFrequency (%) 
02338399.8%
 
2.51< 0.1%
 
3.52< 0.1%
 
41< 0.1%
 
501< 0.1%
 
ValueCountFrequency (%) 
38818.666671< 0.1%
 
22469.751< 0.1%
 
22063.333332< 0.1%
 
21614.251< 0.1%
 
21083.61< 0.1%
 

tkt_avg_interval_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct81
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.0285385
Minimum0
Maximum117432
Zeros23298
Zeros (%)99.4%
Memory size183.1 KiB
2021-01-21T23:28:08.410589image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum117432
Range117432
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2495.415372
Coefficient of variation (CV)17.44697525
Kurtosis766.645551
Mean143.0285385
Median Absolute Deviation (MAD)0
Skewness24.48343263
Sum3351444.715
Variance6227097.878
MonotocityNot monotonic
2021-01-21T23:28:08.544231image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02329899.4%
 
13072.294128< 0.1%
 
62096.755< 0.1%
 
296544< 0.1%
 
72434< 0.1%
 
47145.754< 0.1%
 
11134< 0.1%
 
320903< 0.1%
 
48372.63< 0.1%
 
5656.3753< 0.1%
 
Other values (71)960.4%
 
ValueCountFrequency (%) 
02329899.4%
 
0.51< 0.1%
 
1.52< 0.1%
 
41< 0.1%
 
410.61< 0.1%
 
ValueCountFrequency (%) 
1174322< 0.1%
 
941621< 0.1%
 
652762< 0.1%
 
62096.755< 0.1%
 
59515.666672< 0.1%
 

tkt_avg_interval_y1
Real number (ℝ≥0)

ZEROS

Distinct230
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean667.27117
Minimum0
Maximum196634
Zeros23078
Zeros (%)98.5%
Memory size183.1 KiB
2021-01-21T23:28:08.678871image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum196634
Range196634
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6995.159134
Coefficient of variation (CV)10.48323298
Kurtosis216.7820902
Mean667.27117
Median Absolute Deviation (MAD)0
Skewness13.50363933
Sum15635498.06
Variance48932251.31
MonotocityNot monotonic
2021-01-21T23:28:08.810519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02307898.5%
 
15768.782618< 0.1%
 
857576< 0.1%
 
46484.55< 0.1%
 
67795.55< 0.1%
 
26304.333335< 0.1%
 
8662.0833334< 0.1%
 
72434< 0.1%
 
24762.333334< 0.1%
 
101862.66674< 0.1%
 
Other values (220)3091.3%
 
ValueCountFrequency (%) 
02307898.5%
 
0.51< 0.1%
 
11< 0.1%
 
3.7777777781< 0.1%
 
5.3333333331< 0.1%
 
ValueCountFrequency (%) 
1966342< 0.1%
 
146205.51< 0.1%
 
144966.51< 0.1%
 
1437582< 0.1%
 
143174.66672< 0.1%
 

tkt_avg_interval_y2
Real number (ℝ≥0)

ZEROS

Distinct548
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2342.423916
Minimum0
Maximum332434
Zeros22640
Zeros (%)96.6%
Memory size183.1 KiB
2021-01-21T23:28:08.954135image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum332434
Range332434
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15797.57238
Coefficient of variation (CV)6.744113341
Kurtosis90.73689846
Mean2342.423916
Median Absolute Deviation (MAD)0
Skewness8.644512365
Sum54887677.19
Variance249563293.1
MonotocityNot monotonic
2021-01-21T23:28:09.080798image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02264096.6%
 
1.58< 0.1%
 
16367.659578< 0.1%
 
85984.8756< 0.1%
 
90333.55< 0.1%
 
117382.3755< 0.1%
 
53649.1255< 0.1%
 
82951.64< 0.1%
 
756004< 0.1%
 
123009.28574< 0.1%
 
Other values (538)7433.2%
 
ValueCountFrequency (%) 
02264096.6%
 
0.91< 0.1%
 
1.251< 0.1%
 
1.58< 0.1%
 
21< 0.1%
 
ValueCountFrequency (%) 
3324341< 0.1%
 
3323631< 0.1%
 
266836.33331< 0.1%
 
2585761< 0.1%
 
252449.51< 0.1%
 

tkt_avg_interval_y3
Real number (ℝ≥0)

ZEROS

Distinct760
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3156.156569
Minimum0
Maximum417528.3333
Zeros22339
Zeros (%)95.3%
Memory size183.1 KiB
2021-01-21T23:28:09.221421image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum417528.3333
Range417528.3333
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19172.96062
Coefficient of variation (CV)6.074781211
Kurtosis89.80965164
Mean3156.156569
Median Absolute Deviation (MAD)0
Skewness8.367382295
Sum73955060.73
Variance367602419.1
MonotocityNot monotonic
2021-01-21T23:28:09.414012image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02233995.3%
 
20071.18182300.1%
 
16367.659578< 0.1%
 
50497< 0.1%
 
56< 0.1%
 
85984.8756< 0.1%
 
24399.55< 0.1%
 
53649.1255< 0.1%
 
117382.3755< 0.1%
 
90333.55< 0.1%
 
Other values (750)10164.3%
 
ValueCountFrequency (%) 
02233995.3%
 
0.251< 0.1%
 
0.52< 0.1%
 
0.91< 0.1%
 
1.251< 0.1%
 
ValueCountFrequency (%) 
417528.33331< 0.1%
 
3626071< 0.1%
 
3444891< 0.1%
 
338340.66671< 0.1%
 
3324341< 0.1%
 

pit_all_amt
Real number (ℝ)

ZEROS

Distinct1510
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3375.373122
Minimum-5920
Maximum638588
Zeros20871
Zeros (%)89.1%
Memory size183.1 KiB
2021-01-21T23:28:09.562090image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-5920
5-th percentile0
Q10
median0
Q30
95-th percentile13655.35
Maximum638588
Range644508
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20769.68889
Coefficient of variation (CV)6.153301618
Kurtosis272.2445328
Mean3375.373122
Median Absolute Deviation (MAD)0
Skewness13.7866222
Sum79091743
Variance431379976.8
MonotocityNot monotonic
2021-01-21T23:28:09.691099image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02087189.1%
 
11866570.2%
 
7878360.2%
 
9493310.1%
 
177548300.1%
 
7120300.1%
 
5933300.1%
 
4726240.1%
 
3939210.1%
 
12712180.1%
 
Other values (1500)22849.7%
 
ValueCountFrequency (%) 
-59201< 0.1%
 
-58471< 0.1%
 
-48261< 0.1%
 
-21561< 0.1%
 
-20421< 0.1%
 
ValueCountFrequency (%) 
6385883< 0.1%
 
5035793< 0.1%
 
4784783< 0.1%
 
4628851< 0.1%
 
4153403< 0.1%
 

pit_out_amt
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3397917378
Minimum0
Maximum1187
Zeros23419
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:09.809693image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1187
Range1187
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.91887131
Coefficient of variation (CV)46.84890638
Kurtosis3191.77817
Mean0.3397917378
Median Absolute Deviation (MAD)0
Skewness53.8288132
Sum7962
Variance253.4104638
MonotocityNot monotonic
2021-01-21T23:28:09.901446image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02341999.9%
 
5006< 0.1%
 
1952< 0.1%
 
7191< 0.1%
 
6811< 0.1%
 
11871< 0.1%
 
9451< 0.1%
 
10401< 0.1%
 
ValueCountFrequency (%) 
02341999.9%
 
1952< 0.1%
 
5006< 0.1%
 
6811< 0.1%
 
7191< 0.1%
 
ValueCountFrequency (%) 
11871< 0.1%
 
10401< 0.1%
 
9451< 0.1%
 
7191< 0.1%
 
6811< 0.1%
 

pit_accu_non_cnt
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07814100376
Minimum0
Maximum90
Zeros22831
Zeros (%)97.4%
Memory size183.1 KiB
2021-01-21T23:28:10.094815image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum90
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.192280303
Coefficient of variation (CV)15.2580623
Kurtosis2498.496817
Mean0.07814100376
Median Absolute Deviation (MAD)0
Skewness43.89569192
Sum1831
Variance1.421532321
MonotocityNot monotonic
2021-01-21T23:28:10.197541image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
02283197.4%
 
12821.2%
 
21670.7%
 
3740.3%
 
4260.1%
 
59< 0.1%
 
105< 0.1%
 
65< 0.1%
 
74< 0.1%
 
123< 0.1%
 
Other values (17)260.1%
 
ValueCountFrequency (%) 
02283197.4%
 
12821.2%
 
21670.7%
 
3740.3%
 
4260.1%
 
ValueCountFrequency (%) 
901< 0.1%
 
691< 0.1%
 
571< 0.1%
 
541< 0.1%
 
461< 0.1%
 

pit_accu_air_cnt
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct71
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6752304541
Minimum0
Maximum290
Zeros20908
Zeros (%)89.2%
Memory size183.1 KiB
2021-01-21T23:28:10.315226image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum290
Range290
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.623615223
Coefficient of variation (CV)8.328438371
Kurtosis1268.126346
Mean0.6752304541
Median Absolute Deviation (MAD)0
Skewness29.95970664
Sum15822
Variance31.62504817
MonotocityNot monotonic
2021-01-21T23:28:10.440890image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02090889.2%
 
15452.3%
 
25392.3%
 
34572.0%
 
42581.1%
 
51360.6%
 
61170.5%
 
7680.3%
 
8570.2%
 
10410.2%
 
Other values (61)3061.3%
 
ValueCountFrequency (%) 
02090889.2%
 
15452.3%
 
25392.3%
 
34572.0%
 
42581.1%
 
ValueCountFrequency (%) 
2901< 0.1%
 
2861< 0.1%
 
2832< 0.1%
 
1531< 0.1%
 
1431< 0.1%
 

pit_accu_air_amt
Real number (ℝ≥0)

ZEROS

Distinct1458
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3542.850205
Minimum0
Maximum911760
Zeros20908
Zeros (%)89.2%
Memory size183.1 KiB
2021-01-21T23:28:10.571541image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12712
Maximum911760
Range911760
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26347.01243
Coefficient of variation (CV)7.436671298
Kurtosis352.203219
Mean3542.850205
Median Absolute Deviation (MAD)0
Skewness16.58494077
Sum83016066
Variance694165064.1
MonotocityNot monotonic
2021-01-21T23:28:10.695210image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02090889.2%
 
11866550.2%
 
3939540.2%
 
7878370.2%
 
5933360.2%
 
9493320.1%
 
13787300.1%
 
7120280.1%
 
4726220.1%
 
12712180.1%
 
Other values (1448)22129.4%
 
ValueCountFrequency (%) 
02090889.2%
 
1842< 0.1%
 
2043< 0.1%
 
2091< 0.1%
 
2131< 0.1%
 
ValueCountFrequency (%) 
9117601< 0.1%
 
7795671< 0.1%
 
7591501< 0.1%
 
7009461< 0.1%
 
6820362< 0.1%
 

pit_accu_non_amt
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct289
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.0018778
Minimum0
Maximum284159
Zeros22947
Zeros (%)97.9%
Memory size183.1 KiB
2021-01-21T23:28:10.817882image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum284159
Range284159
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3098.809369
Coefficient of variation (CV)29.23353278
Kurtosis6213.625139
Mean106.0018778
Median Absolute Deviation (MAD)0
Skewness72.43716819
Sum2483836
Variance9602619.503
MonotocityNot monotonic
2021-01-21T23:28:10.994900image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02294797.9%
 
594240.1%
 
394240.1%
 
500120.1%
 
55949< 0.1%
 
11889< 0.1%
 
6478< 0.1%
 
5228< 0.1%
 
3137< 0.1%
 
7886< 0.1%
 
Other values (279)3781.6%
 
ValueCountFrequency (%) 
02294797.9%
 
12< 0.1%
 
65< 0.1%
 
81< 0.1%
 
151< 0.1%
 
ValueCountFrequency (%) 
2841592< 0.1%
 
1041901< 0.1%
 
982511< 0.1%
 
940001< 0.1%
 
798891< 0.1%
 

pit_now_cons_amt
Real number (ℝ)

ZEROS

Distinct1510
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3375.373122
Minimum-5920
Maximum638588
Zeros20871
Zeros (%)89.1%
Memory size183.1 KiB
2021-01-21T23:28:11.124553image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-5920
5-th percentile0
Q10
median0
Q30
95-th percentile13655.35
Maximum638588
Range644508
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20769.68889
Coefficient of variation (CV)6.153301618
Kurtosis272.2445328
Mean3375.373122
Median Absolute Deviation (MAD)0
Skewness13.7866222
Sum79091743
Variance431379976.8
MonotocityNot monotonic
2021-01-21T23:28:11.254858image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02087189.1%
 
11866570.2%
 
7878360.2%
 
9493310.1%
 
177548300.1%
 
7120300.1%
 
5933300.1%
 
4726240.1%
 
3939210.1%
 
12712180.1%
 
Other values (1500)22849.7%
 
ValueCountFrequency (%) 
-59201< 0.1%
 
-58471< 0.1%
 
-48261< 0.1%
 
-21561< 0.1%
 
-20421< 0.1%
 
ValueCountFrequency (%) 
6385883< 0.1%
 
5035793< 0.1%
 
4784783< 0.1%
 
4628851< 0.1%
 
4153403< 0.1%
 

pit_next_level_dist
Real number (ℝ)

ZEROS

Distinct1215
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2592.608996
Minimum-100
Maximum146443
Zeros21279
Zeros (%)90.8%
Memory size183.1 KiB
2021-01-21T23:28:11.390006image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile0
Q10
median0
Q30
95-th percentile28670.5
Maximum146443
Range146543
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9362.932211
Coefficient of variation (CV)3.61139386
Kurtosis28.37729047
Mean2592.608996
Median Absolute Deviation (MAD)0
Skewness4.482577397
Sum60750014
Variance87664499.58
MonotocityNot monotonic
2021-01-21T23:28:11.539940image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02127990.8%
 
-100770.3%
 
40000680.3%
 
28134460.2%
 
-99420.2%
 
32122310.1%
 
34067230.1%
 
32880220.1%
 
30507210.1%
 
36061210.1%
 
Other values (1205)18027.7%
 
ValueCountFrequency (%) 
-100770.3%
 
-99420.2%
 
02127990.8%
 
421< 0.1%
 
951< 0.1%
 
ValueCountFrequency (%) 
1464431< 0.1%
 
1458661< 0.1%
 
1383701< 0.1%
 
1364831< 0.1%
 
1302022< 0.1%
 

pit_next_level_leg
Real number (ℝ)

SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.009431546603
Minimum-100
Maximum89
Zeros23422
Zeros (%)> 99.9%
Memory size183.1 KiB
2021-01-21T23:28:11.659619image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum89
Range189
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.719536494
Coefficient of variation (CV)-182.3175526
Kurtosis3061.189097
Mean-0.009431546603
Median Absolute Deviation (MAD)0
Skewness-29.20677112
Sum-221
Variance2.956805754
MonotocityNot monotonic
2021-01-21T23:28:11.739405image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
023422> 99.9%
 
-1005< 0.1%
 
392< 0.1%
 
891< 0.1%
 
881< 0.1%
 
241< 0.1%
 
ValueCountFrequency (%) 
-1005< 0.1%
 
023422> 99.9%
 
241< 0.1%
 
392< 0.1%
 
881< 0.1%
 
ValueCountFrequency (%) 
891< 0.1%
 
881< 0.1%
 
392< 0.1%
 
241< 0.1%
 
023422> 99.9%
 

mdl_mcv
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.97669853
Minimum0
Maximum300
Zeros15863
Zeros (%)67.7%
Memory size183.1 KiB
2021-01-21T23:28:11.842132image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile100
Maximum300
Range300
Interquartile range (IQR)20

Descriptive statistics

Standard deviation38.3583881
Coefficient of variation (CV)2.1337838
Kurtosis9.737285257
Mean17.97669853
Median Absolute Deviation (MAD)0
Skewness2.916111238
Sum421230
Variance1471.365937
MonotocityNot monotonic
2021-01-21T23:28:11.959817image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
01586367.7%
 
20304013.0%
 
5010154.3%
 
1008013.4%
 
105082.2%
 
403061.3%
 
1202671.1%
 
302561.1%
 
701830.8%
 
1101710.7%
 
Other values (13)10224.4%
 
ValueCountFrequency (%) 
01586367.7%
 
105082.2%
 
20304013.0%
 
302561.1%
 
403061.3%
 
ValueCountFrequency (%) 
30010< 0.1%
 
250760.3%
 
220350.1%
 
2108< 0.1%
 
200470.2%
 

mdl_lost_idx
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

mdl_influence
Real number (ℝ≥0)

ZEROS

Distinct1011
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.777600947
Minimum0
Maximum94.35731061
Zeros22153
Zeros (%)94.5%
Memory size183.1 KiB
2021-01-21T23:28:12.103432image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.07816554
Maximum94.35731061
Range94.35731061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.485613064
Coefficient of variation (CV)4.773632168
Kurtosis35.65817545
Mean1.777600947
Median Absolute Deviation (MAD)0
Skewness5.665012796
Sum41652.7454
Variance72.00562907
MonotocityNot monotonic
2021-01-21T23:28:12.228870image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02215394.5%
 
69.34293667290.1%
 
19.253260868< 0.1%
 
59.626572748< 0.1%
 
28.670810746< 0.1%
 
11.846724425< 0.1%
 
41.120949615< 0.1%
 
29.669682544< 0.1%
 
24.982863474< 0.1%
 
31.086662224< 0.1%
 
Other values (1001)12065.1%
 
ValueCountFrequency (%) 
02215394.5%
 
0.4150975851< 0.1%
 
0.7724830792< 0.1%
 
0.8113251091< 0.1%
 
1.1086769791< 0.1%
 
ValueCountFrequency (%) 
94.357310611< 0.1%
 
91.165158411< 0.1%
 
89.291106451< 0.1%
 
88.836311851< 0.1%
 
88.691033631< 0.1%
 

mdl_loyal
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_accu_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct69
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.77219187
Minimum0
Maximum61264
Zeros23300
Zeros (%)99.4%
Memory size183.1 KiB
2021-01-21T23:28:12.358116image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum61264
Range61264
Interquartile range (IQR)0

Descriptive statistics

Standard deviation948.0337538
Coefficient of variation (CV)19.04745839
Kurtosis1228.430814
Mean49.77219187
Median Absolute Deviation (MAD)0
Skewness29.87774911
Sum1166262
Variance898767.9983
MonotocityNot monotonic
2021-01-21T23:28:12.495772image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02330099.4%
 
13787300.1%
 
296636< 0.1%
 
45934< 0.1%
 
39394< 0.1%
 
41894< 0.1%
 
78783< 0.1%
 
35603< 0.1%
 
14753< 0.1%
 
3063< 0.1%
 
Other values (59)720.3%
 
ValueCountFrequency (%) 
02330099.4%
 
61< 0.1%
 
631< 0.1%
 
1112< 0.1%
 
2091< 0.1%
 
ValueCountFrequency (%) 
612641< 0.1%
 
339991< 0.1%
 
320551< 0.1%
 
296636< 0.1%
 
272901< 0.1%
 

pit_accu_amt_m6
Real number (ℝ≥0)

ZEROS

Distinct309
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean548.8296347
Minimum0
Maximum256870
Zeros22841
Zeros (%)97.5%
Memory size183.1 KiB
2021-01-21T23:28:12.623430image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum256870
Range256870
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6037.197447
Coefficient of variation (CV)11.00013022
Kurtosis574.8631941
Mean548.8296347
Median Absolute Deviation (MAD)0
Skewness19.90602012
Sum12860176
Variance36447753.02
MonotocityNot monotonic
2021-01-21T23:28:12.766068image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02284197.5%
 
96509300.1%
 
3939200.1%
 
5933200.1%
 
5215190.1%
 
7878180.1%
 
11866120.1%
 
5458010< 0.1%
 
23639< 0.1%
 
98489< 0.1%
 
Other values (299)4441.9%
 
ValueCountFrequency (%) 
02284197.5%
 
111< 0.1%
 
151< 0.1%
 
1321< 0.1%
 
1946< 0.1%
 
ValueCountFrequency (%) 
2568703< 0.1%
 
1866401< 0.1%
 
1109931< 0.1%
 
976131< 0.1%
 
96509300.1%
 

pit_accu_amt_y1
Real number (ℝ≥0)

ZEROS

Distinct653
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1659.442984
Minimum0
Maximum307890
Zeros22229
Zeros (%)94.9%
Memory size183.1 KiB
2021-01-21T23:28:12.902684image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile548.35
Maximum307890
Range307890
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14694.21511
Coefficient of variation (CV)8.854908091
Kurtosis238.5865504
Mean1659.442984
Median Absolute Deviation (MAD)0
Skewness14.39796704
Sum38884068
Variance215919957.6
MonotocityNot monotonic
2021-01-21T23:28:13.029345image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02222994.9%
 
5933430.2%
 
3939330.1%
 
11866330.1%
 
279278300.1%
 
7878200.1%
 
6302170.1%
 
11817140.1%
 
9493140.1%
 
4726120.1%
 
Other values (643)9874.2%
 
ValueCountFrequency (%) 
02222994.9%
 
481< 0.1%
 
1721< 0.1%
 
2041< 0.1%
 
2501< 0.1%
 
ValueCountFrequency (%) 
3078903< 0.1%
 
279278300.1%
 
2416721< 0.1%
 
2348123< 0.1%
 
2337843< 0.1%
 

pit_accu_amt_y2
Real number (ℝ≥0)

ZEROS

Distinct1269
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3928.224095
Minimum0
Maximum1155350
Zeros21143
Zeros (%)90.2%
Memory size183.1 KiB
2021-01-21T23:28:13.160993image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11866
Maximum1155350
Range1155350
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31191.15683
Coefficient of variation (CV)7.940269209
Kurtosis378.5634859
Mean3928.224095
Median Absolute Deviation (MAD)0
Skewness16.47836744
Sum92046147
Variance972888264.4
MonotocityNot monotonic
2021-01-21T23:28:13.297628image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02114390.2%
 
11866680.3%
 
7878450.2%
 
9493390.2%
 
5933320.1%
 
496977300.1%
 
7120290.1%
 
3939260.1%
 
4726260.1%
 
6302200.1%
 
Other values (1259)19748.4%
 
ValueCountFrequency (%) 
02114390.2%
 
1841< 0.1%
 
2042< 0.1%
 
2131< 0.1%
 
2251< 0.1%
 
ValueCountFrequency (%) 
11553503< 0.1%
 
6471453< 0.1%
 
496977300.1%
 
4557921< 0.1%
 
4329061< 0.1%
 

pit_accu_amt_y3
Real number (ℝ≥0)

ZEROS

Distinct1541
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5137.517156
Minimum0
Maximum1155350
Zeros20889
Zeros (%)89.1%
Memory size183.1 KiB
2021-01-21T23:28:13.427283image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14742
Maximum1155350
Range1155350
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39155.67752
Coefficient of variation (CV)7.621517619
Kurtosis282.2674611
Mean5137.517156
Median Absolute Deviation (MAD)0
Skewness14.87750403
Sum120382302
Variance1533167082
MonotocityNot monotonic
2021-01-21T23:28:13.559928image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02088989.1%
 
11866540.2%
 
7878360.2%
 
9493320.1%
 
612775300.1%
 
7120270.1%
 
5933260.1%
 
4726250.1%
 
3939210.1%
 
12712180.1%
 
Other values (1531)22749.7%
 
ValueCountFrequency (%) 
02088989.1%
 
1501< 0.1%
 
1841< 0.1%
 
2042< 0.1%
 
2131< 0.1%
 
ValueCountFrequency (%) 
11553503< 0.1%
 
10471223< 0.1%
 
7688661< 0.1%
 
6571601< 0.1%
 
6279293< 0.1%
 

pit_cons_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.52692899
Minimum0
Maximum88000
Zeros23411
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:13.675567image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum88000
Range88000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1015.707057
Coefficient of variation (CV)75.08777921
Kurtosis7226.146481
Mean13.52692899
Median Absolute Deviation (MAD)0
Skewness84.05531869
Sum316963
Variance1031660.826
MonotocityNot monotonic
2021-01-21T23:28:13.758227image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
02341199.9%
 
880003< 0.1%
 
1703< 0.1%
 
2813< 0.1%
 
23743< 0.1%
 
4532< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
2001< 0.1%
 
230001< 0.1%
 
Other values (2)2< 0.1%
 
ValueCountFrequency (%) 
02341199.9%
 
501< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
1703< 0.1%
 
ValueCountFrequency (%) 
880003< 0.1%
 
230001< 0.1%
 
199601< 0.1%
 
23743< 0.1%
 
4532< 0.1%
 

pit_cons_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct65
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454.6098498
Minimum0
Maximum354000
Zeros23262
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:28:13.865940image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum354000
Range354000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7640.260968
Coefficient of variation (CV)16.8061932
Kurtosis642.7216037
Mean454.6098498
Median Absolute Deviation (MAD)0
Skewness22.97631057
Sum10652418
Variance58373587.65
MonotocityNot monotonic
2021-01-21T23:28:13.991505image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02326299.3%
 
90000300.1%
 
4400010< 0.1%
 
60009< 0.1%
 
850006< 0.1%
 
1800006< 0.1%
 
199605< 0.1%
 
380005< 0.1%
 
500004< 0.1%
 
160004< 0.1%
 
Other values (55)910.4%
 
ValueCountFrequency (%) 
02326299.3%
 
501< 0.1%
 
1152< 0.1%
 
1703< 0.1%
 
2001< 0.1%
 
ValueCountFrequency (%) 
3540001< 0.1%
 
2500001< 0.1%
 
2350002< 0.1%
 
2200003< 0.1%
 
2140001< 0.1%
 

pit_cons_amt_y1
Real number (ℝ≥0)

ZEROS

Distinct126
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean990.7821782
Minimum0
Maximum478000
Zeros23146
Zeros (%)98.8%
Memory size183.1 KiB
2021-01-21T23:28:14.124151image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum478000
Range478000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13043.63963
Coefficient of variation (CV)13.16499218
Kurtosis338.4485189
Mean990.7821782
Median Absolute Deviation (MAD)0
Skewness16.86086978
Sum23216008
Variance170136534.8
MonotocityNot monotonic
2021-01-21T23:28:14.273887image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02314698.8%
 
149000300.1%
 
6000140.1%
 
50010< 0.1%
 
24200010< 0.1%
 
400009< 0.1%
 
1800008< 0.1%
 
199607< 0.1%
 
120007< 0.1%
 
380005< 0.1%
 
Other values (116)1860.8%
 
ValueCountFrequency (%) 
02314698.8%
 
501< 0.1%
 
1152< 0.1%
 
1703< 0.1%
 
2813< 0.1%
 
ValueCountFrequency (%) 
4780001< 0.1%
 
3940001< 0.1%
 
3320001< 0.1%
 
3080003< 0.1%
 
3034301< 0.1%
 

pit_cons_amt_y2
Real number (ℝ≥0)

ZEROS

Distinct471
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2103.755889
Minimum0
Maximum979000
Zeros22569
Zeros (%)96.3%
Memory size183.1 KiB
2021-01-21T23:28:14.408431image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum979000
Range979000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25338.38825
Coefficient of variation (CV)12.04435761
Kurtosis494.2514322
Mean2103.755889
Median Absolute Deviation (MAD)0
Skewness19.18601172
Sum49295208
Variance642033919.2
MonotocityNot monotonic
2021-01-21T23:28:14.546071image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02256996.3%
 
379000300.1%
 
394270.1%
 
594180.1%
 
1188160.1%
 
1187150.1%
 
5933130.1%
 
500120.1%
 
393911< 0.1%
 
28600010< 0.1%
 
Other values (461)7113.0%
 
ValueCountFrequency (%) 
02256996.3%
 
151< 0.1%
 
341< 0.1%
 
461< 0.1%
 
501< 0.1%
 
ValueCountFrequency (%) 
9790003< 0.1%
 
8958901< 0.1%
 
5430002< 0.1%
 
5390001< 0.1%
 
5220001< 0.1%
 

pit_cons_amt_y3
Real number (ℝ≥0)

ZEROS

Distinct553
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2823.783971
Minimum0
Maximum1080000
Zeros22497
Zeros (%)96.0%
Memory size183.1 KiB
2021-01-21T23:28:14.690677image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1080000
Range1080000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33540.55752
Coefficient of variation (CV)11.87787659
Kurtosis435.89165
Mean2823.783971
Median Absolute Deviation (MAD)0
Skewness18.7025483
Sum66166906
Variance1124968999
MonotocityNot monotonic
2021-01-21T23:28:14.832299image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02249796.0%
 
504000300.1%
 
394270.1%
 
1188160.1%
 
594150.1%
 
1187140.1%
 
500120.1%
 
593311< 0.1%
 
4600010< 0.1%
 
28600010< 0.1%
 
Other values (543)7903.4%
 
ValueCountFrequency (%) 
02249796.0%
 
151< 0.1%
 
341< 0.1%
 
461< 0.1%
 
501< 0.1%
 
ValueCountFrequency (%) 
10800003< 0.1%
 
10230001< 0.1%
 
10210701< 0.1%
 
9790003< 0.1%
 
9120001< 0.1%
 

pit_avg_accu_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct71
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.29680565
Minimum0
Maximum24723
Zeros23323
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:28:14.970929image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum24723
Range24723
Interquartile range (IQR)0

Descriptive statistics

Standard deviation476.2247683
Coefficient of variation (CV)22.36132386
Kurtosis1161.392616
Mean21.29680565
Median Absolute Deviation (MAD)0
Skewness31.61173069
Sum499026.75
Variance226790.0299
MonotocityNot monotonic
2021-01-21T23:28:15.100581image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02332399.5%
 
3939120.1%
 
98487< 0.1%
 
65< 0.1%
 
181194< 0.1%
 
91963< 0.1%
 
6803< 0.1%
 
24932< 0.1%
 
20862< 0.1%
 
8962< 0.1%
 
Other values (61)690.3%
 
ValueCountFrequency (%) 
02332399.5%
 
65< 0.1%
 
81< 0.1%
 
75.51< 0.1%
 
2921< 0.1%
 
ValueCountFrequency (%) 
247231< 0.1%
 
206471< 0.1%
 
181194< 0.1%
 
172921< 0.1%
 
16999.51< 0.1%
 

pit_avg_accu_amt_m6
Real number (ℝ≥0)

ZEROS

Distinct297
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.219197
Minimum0
Maximum75838
Zeros22895
Zeros (%)97.7%
Memory size183.1 KiB
2021-01-21T23:28:15.226245image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum75838
Range75838
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1531.40659
Coefficient of variation (CV)9.802934717
Kurtosis578.3026158
Mean156.219197
Median Absolute Deviation (MAD)0
Skewness18.68187882
Sum3660528.224
Variance2345206.143
MonotocityNot monotonic
2021-01-21T23:28:15.353904image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02289597.7%
 
3939360.2%
 
5933310.1%
 
9848160.1%
 
17124140.1%
 
356010< 0.1%
 
236310< 0.1%
 
521510< 0.1%
 
237307< 0.1%
 
118656< 0.1%
 
Other values (287)3971.7%
 
ValueCountFrequency (%) 
02289597.7%
 
51< 0.1%
 
1941< 0.1%
 
1971< 0.1%
 
214.33333331< 0.1%
 
ValueCountFrequency (%) 
758381< 0.1%
 
713251< 0.1%
 
333161< 0.1%
 
303361< 0.1%
 
29946.666671< 0.1%
 

pit_avg_accu_amt_y1
Real number (ℝ≥0)

ZEROS

Distinct587
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270.0015194
Minimum0
Maximum51828
Zeros22421
Zeros (%)95.7%
Memory size183.1 KiB
2021-01-21T23:28:15.492535image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum51828
Range51828
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1776.295781
Coefficient of variation (CV)6.578836243
Kurtosis146.0977334
Mean270.0015194
Median Absolute Deviation (MAD)0
Skewness10.39074383
Sum6326675.602
Variance3155226.703
MonotocityNot monotonic
2021-01-21T23:28:15.634155image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02242195.7%
 
5933630.3%
 
3939620.3%
 
3560230.1%
 
3151200.1%
 
2363160.1%
 
5215150.1%
 
15557.22222140.1%
 
9848120.1%
 
8199.58< 0.1%
 
Other values (577)7783.3%
 
ValueCountFrequency (%) 
02242195.7%
 
28.666666671< 0.1%
 
1501< 0.1%
 
158.251< 0.1%
 
1941< 0.1%
 
ValueCountFrequency (%) 
518281< 0.1%
 
483031< 0.1%
 
29411.751< 0.1%
 
293891< 0.1%
 
28261.251< 0.1%
 

pit_avg_accu_amt_y2
Real number (ℝ≥0)

ZEROS

Distinct1117
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean457.1798583
Minimum0
Maximum48303
Zeros21531
Zeros (%)91.9%
Memory size183.1 KiB
2021-01-21T23:28:15.758822image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3530.770833
Maximum48303
Range48303
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2123.088646
Coefficient of variation (CV)4.643880536
Kurtosis79.55287226
Mean457.1798583
Median Absolute Deviation (MAD)0
Skewness7.638193413
Sum10712638.44
Variance4507505.397
MonotocityNot monotonic
2021-01-21T23:28:15.887478image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02153191.9%
 
5933850.4%
 
3939750.3%
 
5215450.2%
 
2363310.1%
 
3560310.1%
 
4746.5280.1%
 
3151230.1%
 
23730190.1%
 
10364.62353140.1%
 
Other values (1107)15506.6%
 
ValueCountFrequency (%) 
02153191.9%
 
138.33333331< 0.1%
 
1502< 0.1%
 
188.45454551< 0.1%
 
192.85714291< 0.1%
 
ValueCountFrequency (%) 
483031< 0.1%
 
474601< 0.1%
 
333771< 0.1%
 
315281< 0.1%
 
296081< 0.1%
 

pit_avg_accu_amt_y3
Real number (ℝ≥0)

ZEROS

Distinct1312
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean475.8957914
Minimum0
Maximum58788
Zeros21346
Zeros (%)91.1%
Memory size183.1 KiB
2021-01-21T23:28:16.013394image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3560
Maximum58788
Range58788
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2124.994453
Coefficient of variation (CV)4.465251619
Kurtosis89.92921214
Mean475.8957914
Median Absolute Deviation (MAD)0
Skewness7.787004516
Sum11151190.18
Variance4515601.424
MonotocityNot monotonic
2021-01-21T23:28:16.139799image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02134691.1%
 
5933700.3%
 
3939540.2%
 
5215390.2%
 
2363280.1%
 
3560260.1%
 
4746.5250.1%
 
23730180.1%
 
3151170.1%
 
8661.869919140.1%
 
Other values (1302)17957.7%
 
ValueCountFrequency (%) 
02134691.1%
 
138.33333331< 0.1%
 
1502< 0.1%
 
1931< 0.1%
 
2131< 0.1%
 
ValueCountFrequency (%) 
587881< 0.1%
 
474601< 0.1%
 
32826.666671< 0.1%
 
296081< 0.1%
 
293941< 0.1%
 

pit_avg_cons_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.52692899
Minimum0
Maximum88000
Zeros23411
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:16.249505image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum88000
Range88000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1015.707057
Coefficient of variation (CV)75.08777921
Kurtosis7226.146481
Mean13.52692899
Median Absolute Deviation (MAD)0
Skewness84.05531869
Sum316963
Variance1031660.826
MonotocityNot monotonic
2021-01-21T23:28:16.336408image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
02341199.9%
 
880003< 0.1%
 
1703< 0.1%
 
2813< 0.1%
 
23743< 0.1%
 
4532< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
2001< 0.1%
 
230001< 0.1%
 
Other values (2)2< 0.1%
 
ValueCountFrequency (%) 
02341199.9%
 
501< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
1703< 0.1%
 
ValueCountFrequency (%) 
880003< 0.1%
 
230001< 0.1%
 
199601< 0.1%
 
23743< 0.1%
 
4532< 0.1%
 

pit_avg_cons_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct65
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.2674974
Minimum0
Maximum250000
Zeros23262
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:28:16.440130image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum250000
Range250000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6437.739144
Coefficient of variation (CV)16.45354952
Kurtosis564.4844918
Mean391.2674974
Median Absolute Deviation (MAD)0
Skewness21.74461742
Sum9168180
Variance41444485.28
MonotocityNot monotonic
2021-01-21T23:28:16.569296image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02326299.3%
 
90000300.1%
 
600010< 0.1%
 
4400010< 0.1%
 
850006< 0.1%
 
1800006< 0.1%
 
199605< 0.1%
 
380005< 0.1%
 
250004< 0.1%
 
160004< 0.1%
 
Other values (55)900.4%
 
ValueCountFrequency (%) 
02326299.3%
 
501< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
1703< 0.1%
 
ValueCountFrequency (%) 
2500001< 0.1%
 
2350002< 0.1%
 
1800006< 0.1%
 
1600002< 0.1%
 
1550002< 0.1%
 

pit_avg_cons_amt_y1
Real number (ℝ≥0)

ZEROS

Distinct127
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean558.0138313
Minimum0
Maximum250000
Zeros23146
Zeros (%)98.8%
Memory size183.1 KiB
2021-01-21T23:28:16.693963image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum250000
Range250000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7310.016638
Coefficient of variation (CV)13.10006353
Kurtosis424.7393648
Mean558.0138313
Median Absolute Deviation (MAD)0
Skewness18.48566408
Sum13075380.1
Variance53436343.25
MonotocityNot monotonic
2021-01-21T23:28:16.824644image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02314698.8%
 
74500300.1%
 
6000150.1%
 
50010< 0.1%
 
80666.6666710< 0.1%
 
400008< 0.1%
 
1800008< 0.1%
 
120007< 0.1%
 
199607< 0.1%
 
480006< 0.1%
 
Other values (117)1850.8%
 
ValueCountFrequency (%) 
02314698.8%
 
501< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
1703< 0.1%
 
ValueCountFrequency (%) 
2500001< 0.1%
 
2390001< 0.1%
 
2350002< 0.1%
 
1850001< 0.1%
 
1800008< 0.1%
 

pit_avg_cons_amt_y2
Real number (ℝ≥0)

ZEROS

Distinct469
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean748.3631765
Minimum0
Maximum231000
Zeros22569
Zeros (%)96.3%
Memory size183.1 KiB
2021-01-21T23:28:16.946288image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum231000
Range231000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7814.222711
Coefficient of variation (CV)10.44175202
Kurtosis289.3882881
Mean748.3631765
Median Absolute Deviation (MAD)0
Skewness15.44313544
Sum17535645.95
Variance61062076.58
MonotocityNot monotonic
2021-01-21T23:28:17.086914image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02256996.3%
 
394330.1%
 
75800300.1%
 
594280.1%
 
1187150.1%
 
5933130.1%
 
500120.1%
 
23000120.1%
 
393911< 0.1%
 
7150010< 0.1%
 
Other values (459)6993.0%
 
ValueCountFrequency (%) 
02256996.3%
 
151< 0.1%
 
261< 0.1%
 
27.52< 0.1%
 
341< 0.1%
 
ValueCountFrequency (%) 
2310001< 0.1%
 
2084801< 0.1%
 
1810002< 0.1%
 
1800008< 0.1%
 
1740001< 0.1%
 

pit_avg_cons_amt_y3
Real number (ℝ≥0)

ZEROS

Distinct551
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean807.3202774
Minimum0
Maximum255750
Zeros22497
Zeros (%)96.0%
Memory size183.1 KiB
2021-01-21T23:28:17.229534image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255750
Range255750
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7856.874798
Coefficient of variation (CV)9.732041939
Kurtosis267.1783675
Mean807.3202774
Median Absolute Deviation (MAD)0
Skewness14.56539299
Sum18917128.74
Variance61730481.59
MonotocityNot monotonic
2021-01-21T23:28:17.374277image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02249796.0%
 
394330.1%
 
84000300.1%
 
594250.1%
 
1187140.1%
 
5933120.1%
 
16000120.1%
 
500120.1%
 
7150010< 0.1%
 
2300010< 0.1%
 
Other values (541)7773.3%
 
ValueCountFrequency (%) 
02249796.0%
 
151< 0.1%
 
261< 0.1%
 
27.52< 0.1%
 
341< 0.1%
 
ValueCountFrequency (%) 
2557501< 0.1%
 
2310001< 0.1%
 
1810002< 0.1%
 
1800005< 0.1%
 
1740001< 0.1%
 

pit_accu_cnt_m3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23300 
1
 
93
2
 
33
3
 
6
ValueCountFrequency (%) 
02330099.4%
 
1930.4%
 
2330.1%
 
36< 0.1%
 
2021-01-21T23:28:17.497481image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_accu_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_accu_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_accu_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_accu_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23411 
1
 
21
ValueCountFrequency (%) 
02341199.9%
 
1210.1%
 

pit_cons_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008876749744
Minimum0
Maximum5
Zeros23262
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:28:17.587241image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1168917357
Coefficient of variation (CV)13.16830361
Kurtosis479.2571318
Mean0.008876749744
Median Absolute Deviation (MAD)0
Skewness18.63857837
Sum208
Variance0.01366367786
MonotocityNot monotonic
2021-01-21T23:28:17.679993image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
02326299.3%
 
11450.6%
 
2170.1%
 
34< 0.1%
 
43< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
02326299.3%
 
11450.6%
 
2170.1%
 
34< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
43< 0.1%
 
34< 0.1%
 
2170.1%
 
11450.6%
 

pit_cons_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02091157392
Minimum0
Maximum10
Zeros23146
Zeros (%)98.8%
Memory size183.1 KiB
2021-01-21T23:28:17.769948image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2281605704
Coefficient of variation (CV)10.91073161
Kurtosis403.3574079
Mean0.02091157392
Median Absolute Deviation (MAD)0
Skewness16.79364073
Sum490
Variance0.0520572459
MonotocityNot monotonic
2021-01-21T23:28:17.862623image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02314698.8%
 
11630.7%
 
2830.4%
 
3200.1%
 
410< 0.1%
 
55< 0.1%
 
72< 0.1%
 
62< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
02314698.8%
 
11630.7%
 
2830.4%
 
3200.1%
 
410< 0.1%
 
ValueCountFrequency (%) 
101< 0.1%
 
72< 0.1%
 
62< 0.1%
 
55< 0.1%
 
410< 0.1%
 

pit_cons_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08146978491
Minimum0
Maximum18
Zeros22569
Zeros (%)96.3%
Memory size183.1 KiB
2021-01-21T23:28:17.954400image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5492078085
Coefficient of variation (CV)6.741245347
Kurtosis202.7911844
Mean0.08146978491
Median Absolute Deviation (MAD)0
Skewness11.58074719
Sum1909
Variance0.3016292169
MonotocityNot monotonic
2021-01-21T23:28:18.043163image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
02256996.3%
 
14121.8%
 
22110.9%
 
3960.4%
 
4600.3%
 
5460.2%
 
6120.1%
 
711< 0.1%
 
85< 0.1%
 
142< 0.1%
 
Other values (6)8< 0.1%
 
ValueCountFrequency (%) 
02256996.3%
 
14121.8%
 
22110.9%
 
3960.4%
 
4600.3%
 
ValueCountFrequency (%) 
181< 0.1%
 
151< 0.1%
 
142< 0.1%
 
132< 0.1%
 
112< 0.1%
 

pit_cons_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09969272789
Minimum0
Maximum29
Zeros22497
Zeros (%)96.0%
Memory size183.1 KiB
2021-01-21T23:28:18.195815image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6762434361
Coefficient of variation (CV)6.783277481
Kurtosis303.3507327
Mean0.09969272789
Median Absolute Deviation (MAD)0
Skewness13.38835632
Sum2336
Variance0.4573051849
MonotocityNot monotonic
2021-01-21T23:28:18.292580image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
02249796.0%
 
13931.7%
 
22341.0%
 
31300.6%
 
4620.3%
 
6450.2%
 
5290.1%
 
7180.1%
 
87< 0.1%
 
144< 0.1%
 
Other values (6)130.1%
 
ValueCountFrequency (%) 
02249796.0%
 
13931.7%
 
22341.0%
 
31300.6%
 
4620.3%
 
ValueCountFrequency (%) 
291< 0.1%
 
183< 0.1%
 
152< 0.1%
 
144< 0.1%
 
131< 0.1%
 

pit_add_air_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct58
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.529831
Minimum0
Maximum33999
Zeros23339
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:28:18.405280image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum33999
Range33999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation617.6607543
Coefficient of variation (CV)24.19368755
Kurtosis1536.888912
Mean25.529831
Median Absolute Deviation (MAD)0
Skewness36.08962254
Sum598215
Variance381504.8074
MonotocityNot monotonic
2021-01-21T23:28:18.534931image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02333999.6%
 
3939120.1%
 
98487< 0.1%
 
181194< 0.1%
 
6803< 0.1%
 
91963< 0.1%
 
78562< 0.1%
 
7742< 0.1%
 
7022< 0.1%
 
20862< 0.1%
 
Other values (48)560.2%
 
ValueCountFrequency (%) 
02333999.6%
 
2921< 0.1%
 
3251< 0.1%
 
4981< 0.1%
 
6011< 0.1%
 
ValueCountFrequency (%) 
339991< 0.1%
 
310402< 0.1%
 
287351< 0.1%
 
247231< 0.1%
 
208781< 0.1%
 

pit_add_air_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct292
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean495.9874957
Minimum0
Maximum216292
Zeros22901
Zeros (%)97.7%
Memory size183.1 KiB
2021-01-21T23:28:18.668575image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum216292
Range216292
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6616.531831
Coefficient of variation (CV)13.34011822
Kurtosis720.3874186
Mean495.9874957
Median Absolute Deviation (MAD)0
Skewness24.47042749
Sum11621979
Variance43778493.47
MonotocityNot monotonic
2021-01-21T23:28:18.793242image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02290197.7%
 
3939260.1%
 
5933220.1%
 
216292140.1%
 
984811< 0.1%
 
787811< 0.1%
 
1186610< 0.1%
 
356010< 0.1%
 
236310< 0.1%
 
52158< 0.1%
 
Other values (282)4091.7%
 
ValueCountFrequency (%) 
02290197.7%
 
1941< 0.1%
 
2601< 0.1%
 
2921< 0.1%
 
3261< 0.1%
 
ValueCountFrequency (%) 
216292140.1%
 
1164463< 0.1%
 
1125901< 0.1%
 
984752< 0.1%
 
977261< 0.1%
 

pit_add_air_amt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct578
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1416.681632
Minimum0
Maximum442368
Zeros22427
Zeros (%)95.7%
Memory size183.1 KiB
2021-01-21T23:28:18.919903image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum442368
Range442368
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15181.02311
Coefficient of variation (CV)10.71590311
Kurtosis502.2938727
Mean1416.681632
Median Absolute Deviation (MAD)0
Skewness20.1796255
Sum33195684
Variance230463462.6
MonotocityNot monotonic
2021-01-21T23:28:19.041578image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02242795.7%
 
5933390.2%
 
3939370.2%
 
7878240.1%
 
11866210.1%
 
6302150.1%
 
442368140.1%
 
7120140.1%
 
949311< 0.1%
 
236311< 0.1%
 
Other values (568)8193.5%
 
ValueCountFrequency (%) 
02242795.7%
 
1501< 0.1%
 
1941< 0.1%
 
2541< 0.1%
 
2601< 0.1%
 
ValueCountFrequency (%) 
442368140.1%
 
3659732< 0.1%
 
2752333< 0.1%
 
2433141< 0.1%
 
2400131< 0.1%
 

pit_add_air_amt_y2
Real number (ℝ≥0)

ZEROS

Distinct1093
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3374.270784
Minimum0
Maximum726920
Zeros21538
Zeros (%)91.9%
Memory size183.1 KiB
2021-01-21T23:28:19.171314image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9493
Maximum726920
Range726920
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29122.36754
Coefficient of variation (CV)8.63071443
Kurtosis327.8433751
Mean3374.270784
Median Absolute Deviation (MAD)0
Skewness16.48014661
Sum79065913
Variance848112291.4
MonotocityNot monotonic
2021-01-21T23:28:19.300990image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02153891.9%
 
11866470.2%
 
7878390.2%
 
5933270.1%
 
3939260.1%
 
9493230.1%
 
7120220.1%
 
5215210.1%
 
6302190.1%
 
4726170.1%
 
Other values (1083)16537.1%
 
ValueCountFrequency (%) 
02153891.9%
 
1502< 0.1%
 
2131< 0.1%
 
2502< 0.1%
 
2941< 0.1%
 
ValueCountFrequency (%) 
726920140.1%
 
5453636< 0.1%
 
5014193< 0.1%
 
4788411< 0.1%
 
4787741< 0.1%
 

pit_add_air_amt_y3
Real number (ℝ≥0)

ZEROS

Distinct1232
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4352.948105
Minimum0
Maximum905503
Zeros21354
Zeros (%)91.1%
Memory size183.1 KiB
2021-01-21T23:28:19.435629image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11817
Maximum905503
Range905503
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37277.3394
Coefficient of variation (CV)8.563699474
Kurtosis318.7505525
Mean4352.948105
Median Absolute Deviation (MAD)0
Skewness16.30435242
Sum101998280
Variance1389600033
MonotocityNot monotonic
2021-01-21T23:28:19.556308image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02135491.1%
 
11866510.2%
 
7878340.1%
 
5933250.1%
 
9493240.1%
 
7120220.1%
 
3939210.1%
 
5215210.1%
 
10430180.1%
 
4726160.1%
 
Other values (1222)18467.9%
 
ValueCountFrequency (%) 
02135491.1%
 
1502< 0.1%
 
2131< 0.1%
 
2462< 0.1%
 
2502< 0.1%
 
ValueCountFrequency (%) 
905503140.1%
 
7896393< 0.1%
 
7069842< 0.1%
 
7065271< 0.1%
 
6494861< 0.1%
 

pit_add_non_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7309662001
Minimum0
Maximum5000
Zeros23414
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:19.661480image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5000
Range5000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49.73577061
Coefficient of variation (CV)68.04113598
Kurtosis7830.14264
Mean0.7309662001
Median Absolute Deviation (MAD)0
Skewness86.44650125
Sum17128
Variance2473.646879
MonotocityNot monotonic
2021-01-21T23:28:19.754775image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
02341499.9%
 
5943< 0.1%
 
1112< 0.1%
 
631< 0.1%
 
34521< 0.1%
 
441< 0.1%
 
751< 0.1%
 
50001< 0.1%
 
6341< 0.1%
 
6311< 0.1%
 
Other values (6)6< 0.1%
 
ValueCountFrequency (%) 
02341499.9%
 
61< 0.1%
 
231< 0.1%
 
441< 0.1%
 
631< 0.1%
 
ValueCountFrequency (%) 
50001< 0.1%
 
43431< 0.1%
 
34521< 0.1%
 
6341< 0.1%
 
6311< 0.1%
 

pit_add_non_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct59
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.93461932
Minimum0
Maximum175000
Zeros23352
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:28:19.865483image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum175000
Range175000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1991.858236
Coefficient of variation (CV)68.83996689
Kurtosis7623.214973
Mean28.93461932
Median Absolute Deviation (MAD)0
Skewness86.87120428
Sum677996
Variance3967499.233
MonotocityNot monotonic
2021-01-21T23:28:20.045608image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02335299.7%
 
12868< 0.1%
 
41283< 0.1%
 
5943< 0.1%
 
2823< 0.1%
 
1750003< 0.1%
 
1732< 0.1%
 
5602< 0.1%
 
662< 0.1%
 
10002< 0.1%
 
Other values (49)520.2%
 
ValueCountFrequency (%) 
02335299.7%
 
21< 0.1%
 
111< 0.1%
 
151< 0.1%
 
282< 0.1%
 
ValueCountFrequency (%) 
1750003< 0.1%
 
205501< 0.1%
 
130001< 0.1%
 
109691< 0.1%
 
96301< 0.1%
 

pit_add_non_amt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct88
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.25780983
Minimum0
Maximum175000
Zeros23308
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:28:20.187914image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum175000
Range175000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2140.082755
Coefficient of variation (CV)45.28527163
Kurtosis5844.030327
Mean47.25780983
Median Absolute Deviation (MAD)0
Skewness73.65711862
Sum1107345
Variance4579954.197
MonotocityNot monotonic
2021-01-21T23:28:20.410973image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02330899.5%
 
12868< 0.1%
 
11874< 0.1%
 
10004< 0.1%
 
2813< 0.1%
 
1750003< 0.1%
 
91653< 0.1%
 
5943< 0.1%
 
127723< 0.1%
 
2823< 0.1%
 
Other values (78)900.4%
 
ValueCountFrequency (%) 
02330899.5%
 
111< 0.1%
 
171< 0.1%
 
191< 0.1%
 
441< 0.1%
 
ValueCountFrequency (%) 
1750003< 0.1%
 
867771< 0.1%
 
368611< 0.1%
 
327091< 0.1%
 
325801< 0.1%
 

pit_add_non_amt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct171
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.4934278
Minimum0
Maximum975000
Zeros23186
Zeros (%)99.0%
Memory size183.1 KiB
2021-01-21T23:28:20.569547image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum975000
Range975000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11185.99458
Coefficient of variation (CV)57.81072103
Kurtosis7385.375473
Mean193.4934278
Median Absolute Deviation (MAD)0
Skewness84.96899308
Sum4533938
Variance125126474.6
MonotocityNot monotonic
2021-01-21T23:28:20.711171image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02318699.0%
 
50010< 0.1%
 
12868< 0.1%
 
11875< 0.1%
 
3944< 0.1%
 
5944< 0.1%
 
6314< 0.1%
 
27293< 0.1%
 
9750003< 0.1%
 
1153< 0.1%
 
Other values (161)2020.9%
 
ValueCountFrequency (%) 
02318699.0%
 
41< 0.1%
 
111< 0.1%
 
171< 0.1%
 
251< 0.1%
 
ValueCountFrequency (%) 
9750003< 0.1%
 
1426601< 0.1%
 
1075461< 0.1%
 
1041901< 0.1%
 
920641< 0.1%
 

pit_add_non_amt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct395
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.5875726
Minimum0
Maximum975000
Zeros22706
Zeros (%)96.9%
Memory size183.1 KiB
2021-01-21T23:28:20.856780image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum975000
Range975000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11292.88673
Coefficient of variation (CV)40.24728048
Kurtosis7108.481282
Mean280.5875726
Median Absolute Deviation (MAD)0
Skewness82.70041203
Sum6574728
Variance127529290.8
MonotocityNot monotonic
2021-01-21T23:28:20.994412image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02270696.9%
 
394310.1%
 
5520300.1%
 
594230.1%
 
1187180.1%
 
500170.1%
 
1188170.1%
 
522130.1%
 
6319< 0.1%
 
7888< 0.1%
 
Other values (385)5602.4%
 
ValueCountFrequency (%) 
02270696.9%
 
41< 0.1%
 
151< 0.1%
 
171< 0.1%
 
421< 0.1%
 
ValueCountFrequency (%) 
9750003< 0.1%
 
1431601< 0.1%
 
1239961< 0.1%
 
1223781< 0.1%
 
1114301< 0.1%
 

pit_add_buy_amt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_buy_amt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
1700
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
17001< 0.1%
 
2021-01-21T23:28:21.115091image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

pit_add_buy_amt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.58757255
Minimum0
Maximum10800
Zeros23424
Zeros (%)> 99.9%
Memory size183.1 KiB
2021-01-21T23:28:21.199865image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10800
Range10800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation106.5842582
Coefficient of variation (CV)67.13662201
Kurtosis6620.17435
Mean1.58757255
Median Absolute Deviation (MAD)0
Skewness78.24028864
Sum37200
Variance11360.2041
MonotocityNot monotonic
2021-01-21T23:28:21.289623image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
023424> 99.9%
 
11002< 0.1%
 
67001< 0.1%
 
74001< 0.1%
 
33001< 0.1%
 
108001< 0.1%
 
60001< 0.1%
 
8001< 0.1%
 
ValueCountFrequency (%) 
023424> 99.9%
 
8001< 0.1%
 
11002< 0.1%
 
33001< 0.1%
 
60001< 0.1%
 
ValueCountFrequency (%) 
108001< 0.1%
 
74001< 0.1%
 
67001< 0.1%
 
60001< 0.1%
 
33001< 0.1%
 

pit_add_buy_amt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.907647661
Minimum0
Maximum10800
Zeros23422
Zeros (%)> 99.9%
Memory size183.1 KiB
2021-01-21T23:28:21.376391image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10800
Range10800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation112.6622764
Coefficient of variation (CV)59.05822062
Kurtosis5477.399516
Mean1.907647661
Median Absolute Deviation (MAD)0
Skewness70.43256579
Sum44700
Variance12692.78853
MonotocityNot monotonic
2021-01-21T23:28:21.467149image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
023422> 99.9%
 
11002< 0.1%
 
67001< 0.1%
 
74001< 0.1%
 
50001< 0.1%
 
33001< 0.1%
 
108001< 0.1%
 
25001< 0.1%
 
60001< 0.1%
 
8001< 0.1%
 
ValueCountFrequency (%) 
023422> 99.9%
 
8001< 0.1%
 
11002< 0.1%
 
25001< 0.1%
 
33001< 0.1%
 
ValueCountFrequency (%) 
108001< 0.1%
 
74001< 0.1%
 
67001< 0.1%
 
60001< 0.1%
 
50001< 0.1%
 

pit_add_mnl_amt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_mnl_amt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_mnl_amt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_mnl_amt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_mnl_amt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_ech_amt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_ech_amt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_ech_amt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_ech_amt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_ech_amt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_oth_amt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_oth_amt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_oth_amt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_oth_amt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_oth_amt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_tkt_amt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_tkt_amt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_tkt_amt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_tkt_amt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_tkt_amt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_bag_amt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_bag_amt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_bag_amt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_bag_amt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_bag_amt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
25000
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
250001< 0.1%
 
2021-01-21T23:28:21.593810image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

pit_des_upg_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.42062137
Minimum0
Maximum77000
Zeros23403
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:21.679581image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum77000
Range77000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1302.516317
Coefficient of variation (CV)30.70479109
Kurtosis1466.23599
Mean42.42062137
Median Absolute Deviation (MAD)0
Skewness35.62442917
Sum994000
Variance1696548.756
MonotocityNot monotonic
2021-01-21T23:28:21.767345image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02340399.9%
 
34000140.1%
 
300007< 0.1%
 
90002< 0.1%
 
130001< 0.1%
 
770001< 0.1%
 
500001< 0.1%
 
250001< 0.1%
 
550001< 0.1%
 
700001< 0.1%
 
ValueCountFrequency (%) 
02340399.9%
 
90002< 0.1%
 
130001< 0.1%
 
250001< 0.1%
 
300007< 0.1%
 
ValueCountFrequency (%) 
770001< 0.1%
 
700001< 0.1%
 
550001< 0.1%
 
500001< 0.1%
 
34000140.1%
 

pit_des_upg_amt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.4530557
Minimum0
Maximum240000
Zeros23388
Zeros (%)99.8%
Memory size183.1 KiB
2021-01-21T23:28:21.870071image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum240000
Range240000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6595.609286
Coefficient of variation (CV)27.77647678
Kurtosis1117.350938
Mean237.4530557
Median Absolute Deviation (MAD)0
Skewness32.41149171
Sum5564000
Variance43502061.85
MonotocityNot monotonic
2021-01-21T23:28:21.971724image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
02338899.8%
 
238000140.1%
 
770007< 0.1%
 
850006< 0.1%
 
800003< 0.1%
 
1320003< 0.1%
 
90002< 0.1%
 
300001< 0.1%
 
130001< 0.1%
 
500001< 0.1%
 
Other values (6)6< 0.1%
 
ValueCountFrequency (%) 
02338899.8%
 
90002< 0.1%
 
100001< 0.1%
 
130001< 0.1%
 
250001< 0.1%
 
ValueCountFrequency (%) 
2400001< 0.1%
 
238000140.1%
 
1320003< 0.1%
 
850006< 0.1%
 
800003< 0.1%
 

pit_des_upg_amt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean624.7012632
Minimum0
Maximum528000
Zeros23369
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:28:22.069666image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum528000
Range528000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15660.1857
Coefficient of variation (CV)25.06827923
Kurtosis914.1455839
Mean624.7012632
Median Absolute Deviation (MAD)0
Skewness29.44040819
Sum14638000
Variance245241416.2
MonotocityNot monotonic
2021-01-21T23:28:22.186490image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
02336999.7%
 
528000140.1%
 
770006< 0.1%
 
3490006< 0.1%
 
800003< 0.1%
 
3960003< 0.1%
 
700003< 0.1%
 
550003< 0.1%
 
500003< 0.1%
 
2530002< 0.1%
 
Other values (15)200.1%
 
ValueCountFrequency (%) 
02336999.7%
 
130001< 0.1%
 
290002< 0.1%
 
300002< 0.1%
 
360001< 0.1%
 
ValueCountFrequency (%) 
528000140.1%
 
4160001< 0.1%
 
3960003< 0.1%
 
3490006< 0.1%
 
2530002< 0.1%
 

pit_des_upg_amt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean841.242745
Minimum0
Maximum843000
Zeros23364
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:28:22.298215image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum843000
Range843000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22632.72343
Coefficient of variation (CV)26.90391515
Kurtosis1183.435151
Mean841.242745
Median Absolute Deviation (MAD)0
Skewness33.32137185
Sum19712000
Variance512240170
MonotocityNot monotonic
2021-01-21T23:28:22.405926image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
02336499.7%
 
843000140.1%
 
770009< 0.1%
 
3490006< 0.1%
 
700004< 0.1%
 
550004< 0.1%
 
3960003< 0.1%
 
500003< 0.1%
 
800003< 0.1%
 
440002< 0.1%
 
Other values (16)200.1%
 
ValueCountFrequency (%) 
02336499.7%
 
130001< 0.1%
 
290002< 0.1%
 
300002< 0.1%
 
360001< 0.1%
 
ValueCountFrequency (%) 
843000140.1%
 
4400001< 0.1%
 
4160001< 0.1%
 
3960003< 0.1%
 
3490006< 0.1%
 

pit_des_mall_amt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_mall_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.03926255
Minimum0
Maximum203960
Zeros23411
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:22.511645image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum203960
Range203960
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2226.312984
Coefficient of variation (CV)49.43049372
Kurtosis6229.792448
Mean45.03926255
Median Absolute Deviation (MAD)0
Skewness73.29643269
Sum1055360
Variance4956469.505
MonotocityNot monotonic
2021-01-21T23:28:22.611395image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
02341199.9%
 
199604< 0.1%
 
719603< 0.1%
 
630402< 0.1%
 
2039602< 0.1%
 
96002< 0.1%
 
220001< 0.1%
 
215201< 0.1%
 
539201< 0.1%
 
342801< 0.1%
 
Other values (4)4< 0.1%
 
ValueCountFrequency (%) 
02341199.9%
 
70401< 0.1%
 
86401< 0.1%
 
92001< 0.1%
 
96002< 0.1%
 
ValueCountFrequency (%) 
2039602< 0.1%
 
719603< 0.1%
 
630402< 0.1%
 
539201< 0.1%
 
498401< 0.1%
 

pit_des_mall_amt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct29
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.47046774
Minimum0
Maximum230720
Zeros23392
Zeros (%)99.8%
Memory size183.1 KiB
2021-01-21T23:28:22.784643image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum230720
Range230720
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3635.301245
Coefficient of variation (CV)38.89251154
Kurtosis3033.768805
Mean93.47046774
Median Absolute Deviation (MAD)0
Skewness52.53473975
Sum2190200
Variance13215415.14
MonotocityNot monotonic
2021-01-21T23:28:22.906281image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
02339299.8%
 
199604< 0.1%
 
2307203< 0.1%
 
95203< 0.1%
 
345002< 0.1%
 
96002< 0.1%
 
979202< 0.1%
 
630402< 0.1%
 
2039602< 0.1%
 
71601< 0.1%
 
Other values (19)190.1%
 
ValueCountFrequency (%) 
02339299.8%
 
22001< 0.1%
 
40001< 0.1%
 
43601< 0.1%
 
46401< 0.1%
 
ValueCountFrequency (%) 
2307203< 0.1%
 
2039602< 0.1%
 
1071201< 0.1%
 
979202< 0.1%
 
890401< 0.1%
 

pit_des_mall_amt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct68
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.7010925
Minimum0
Maximum322120
Zeros23343
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:28:23.020976image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum322120
Range322120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5213.749334
Coefficient of variation (CV)29.33999595
Kurtosis2345.260738
Mean177.7010925
Median Absolute Deviation (MAD)0
Skewness44.88456841
Sum4163892
Variance27183182.12
MonotocityNot monotonic
2021-01-21T23:28:23.143646image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02334399.6%
 
199603< 0.1%
 
3221203< 0.1%
 
183203< 0.1%
 
2039602< 0.1%
 
95202< 0.1%
 
96002< 0.1%
 
345002< 0.1%
 
135202< 0.1%
 
979202< 0.1%
 
Other values (58)680.3%
 
ValueCountFrequency (%) 
02334399.6%
 
19601< 0.1%
 
20001< 0.1%
 
21201< 0.1%
 
39602< 0.1%
 
ValueCountFrequency (%) 
3221203< 0.1%
 
2084801< 0.1%
 
2039602< 0.1%
 
1679602< 0.1%
 
1461601< 0.1%
 

pit_des_mall_amt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct80
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.8518266
Minimum0
Maximum382840
Zeros23324
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:28:23.284414image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum382840
Range382840
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6203.759806
Coefficient of variation (CV)29.56257235
Kurtosis2497.019842
Mean209.8518266
Median Absolute Deviation (MAD)0
Skewness46.72178007
Sum4917248
Variance38486635.73
MonotocityNot monotonic
2021-01-21T23:28:23.425040image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02332499.5%
 
49506< 0.1%
 
3828403< 0.1%
 
183203< 0.1%
 
979202< 0.1%
 
71602< 0.1%
 
235202< 0.1%
 
59602< 0.1%
 
54002< 0.1%
 
39602< 0.1%
 
Other values (70)840.4%
 
ValueCountFrequency (%) 
02332499.5%
 
9001< 0.1%
 
19601< 0.1%
 
20001< 0.1%
 
21201< 0.1%
 
ValueCountFrequency (%) 
3828403< 0.1%
 
2959202< 0.1%
 
2084801< 0.1%
 
2039602< 0.1%
 
1461601< 0.1%
 

pit_des_selt_amt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_selt_amt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_selt_amt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_selt_amt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_selt_amt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_out_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4268948447
Minimum0
Maximum2374
Zeros23416
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:23.545715image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2374
Range2374
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.50525983
Coefficient of variation (CV)64.43099554
Kurtosis7107.141412
Mean0.4268948447
Median Absolute Deviation (MAD)0
Skewness82.86113415
Sum10003
Variance756.5393185
MonotocityNot monotonic
2021-01-21T23:28:23.630489image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02341699.9%
 
1703< 0.1%
 
2813< 0.1%
 
23743< 0.1%
 
4532< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
2001< 0.1%
 
501< 0.1%
 
ValueCountFrequency (%) 
02341699.9%
 
501< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
1703< 0.1%
 
ValueCountFrequency (%) 
23743< 0.1%
 
4532< 0.1%
 
2813< 0.1%
 
2001< 0.1%
 
1703< 0.1%
 

pit_des_out_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8747866166
Minimum0
Maximum2374
Zeros23410
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:23.716261image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2374
Range2374
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.94004438
Coefficient of variation (CV)45.65689921
Kurtosis3014.92528
Mean0.8747866166
Median Absolute Deviation (MAD)0
Skewness53.70918365
Sum20498
Variance1595.207145
MonotocityNot monotonic
2021-01-21T23:28:23.799039image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02341099.9%
 
1703< 0.1%
 
2813< 0.1%
 
22643< 0.1%
 
23743< 0.1%
 
11873< 0.1%
 
4532< 0.1%
 
1152< 0.1%
 
2841< 0.1%
 
2001< 0.1%
 
ValueCountFrequency (%) 
02341099.9%
 
501< 0.1%
 
1152< 0.1%
 
1703< 0.1%
 
2001< 0.1%
 
ValueCountFrequency (%) 
23743< 0.1%
 
22643< 0.1%
 
11873< 0.1%
 
4532< 0.1%
 
2841< 0.1%
 

pit_des_out_amt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.692813247
Minimum0
Maximum6022
Zeros23382
Zeros (%)99.8%
Memory size183.1 KiB
2021-01-21T23:28:23.889796image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6022
Range6022
Interquartile range (IQR)0

Descriptive statistics

Standard deviation92.05644979
Coefficient of variation (CV)34.18597628
Kurtosis2722.398556
Mean2.692813247
Median Absolute Deviation (MAD)0
Skewness49.11973276
Sum63098
Variance8474.389948
MonotocityNot monotonic
2021-01-21T23:28:23.985541image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
02338299.8%
 
500130.1%
 
11874< 0.1%
 
1703< 0.1%
 
2813< 0.1%
 
22643< 0.1%
 
23743< 0.1%
 
53562< 0.1%
 
3942< 0.1%
 
1152< 0.1%
 
Other values (14)150.1%
 
ValueCountFrequency (%) 
02338299.8%
 
501< 0.1%
 
1152< 0.1%
 
1271< 0.1%
 
1703< 0.1%
 
ValueCountFrequency (%) 
60221< 0.1%
 
53562< 0.1%
 
53321< 0.1%
 
49861< 0.1%
 
23743< 0.1%
 

pit_des_out_amt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct317
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.9032093
Minimum0
Maximum153208
Zeros22834
Zeros (%)97.4%
Memory size183.1 KiB
2021-01-21T23:28:24.103227image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum153208
Range153208
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1624.632257
Coefficient of variation (CV)14.51819181
Kurtosis3635.087936
Mean111.9032093
Median Absolute Deviation (MAD)0
Skewness46.98310029
Sum2622116
Variance2639429.97
MonotocityNot monotonic
2021-01-21T23:28:24.234874image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02283497.4%
 
394290.1%
 
1187200.1%
 
594200.1%
 
1188160.1%
 
500160.1%
 
5933140.1%
 
393911< 0.1%
 
5229< 0.1%
 
55949< 0.1%
 
Other values (307)4541.9%
 
ValueCountFrequency (%) 
02283497.4%
 
151< 0.1%
 
271< 0.1%
 
341< 0.1%
 
461< 0.1%
 
ValueCountFrequency (%) 
1532081< 0.1%
 
474605< 0.1%
 
462361< 0.1%
 
453502< 0.1%
 
359281< 0.1%
 

pit_des_out_amt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct390
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167.9079037
Minimum0
Maximum176776
Zeros22759
Zeros (%)97.1%
Memory size183.1 KiB
2021-01-21T23:28:24.376496image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum176776
Range176776
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2274.711809
Coefficient of variation (CV)13.54737781
Kurtosis2000.922511
Mean167.9079037
Median Absolute Deviation (MAD)0
Skewness35.60867787
Sum3934418
Variance5174313.816
MonotocityNot monotonic
2021-01-21T23:28:24.566321image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02275997.1%
 
394280.1%
 
1187180.1%
 
594180.1%
 
1188160.1%
 
500160.1%
 
5933120.1%
 
55949< 0.1%
 
5228< 0.1%
 
55227< 0.1%
 
Other values (380)5412.3%
 
ValueCountFrequency (%) 
02275997.1%
 
151< 0.1%
 
211< 0.1%
 
271< 0.1%
 
341< 0.1%
 
ValueCountFrequency (%) 
1767761< 0.1%
 
949201< 0.1%
 
870702< 0.1%
 
630241< 0.1%
 
572781< 0.1%
 

pit_des_oth_amt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_oth_amt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_oth_amt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_oth_amt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_oth_amt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23339 
1
 
71
2
 
19
3
 
3
ValueCountFrequency (%) 
02333999.6%
 
1710.3%
 
2190.1%
 
33< 0.1%
 
2021-01-21T23:28:24.693790image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_add_air_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06550870604
Minimum0
Maximum20
Zeros22901
Zeros (%)97.7%
Memory size183.1 KiB
2021-01-21T23:28:24.837520image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6116687919
Coefficient of variation (CV)9.337213766
Kurtosis330.0512141
Mean0.06550870604
Median Absolute Deviation (MAD)0
Skewness15.6986658
Sum1535
Variance0.3741387109
MonotocityNot monotonic
2021-01-21T23:28:24.932268image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
02290197.7%
 
12040.9%
 
21440.6%
 
3580.2%
 
4360.2%
 
5240.1%
 
7150.1%
 
11140.1%
 
6120.1%
 
88< 0.1%
 
Other values (6)160.1%
 
ValueCountFrequency (%) 
02290197.7%
 
12040.9%
 
21440.6%
 
3580.2%
 
4360.2%
 
ValueCountFrequency (%) 
203< 0.1%
 
172< 0.1%
 
131< 0.1%
 
122< 0.1%
 
11140.1%
 

pit_add_air_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1969102083
Minimum0
Maximum67
Zeros22427
Zeros (%)95.7%
Memory size183.1 KiB
2021-01-21T23:28:25.045962image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum67
Range67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.610264548
Coefficient of variation (CV)8.177659056
Kurtosis349.3507595
Mean0.1969102083
Median Absolute Deviation (MAD)0
Skewness15.86178114
Sum4614
Variance2.592951914
MonotocityNot monotonic
2021-01-21T23:28:25.162651image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
02242795.7%
 
22941.3%
 
12441.0%
 
31390.6%
 
4770.3%
 
5560.2%
 
6310.1%
 
7280.1%
 
29140.1%
 
11130.1%
 
Other values (24)1090.5%
 
ValueCountFrequency (%) 
02242795.7%
 
12441.0%
 
22941.3%
 
31390.6%
 
4770.3%
 
ValueCountFrequency (%) 
671< 0.1%
 
442< 0.1%
 
421< 0.1%
 
401< 0.1%
 
331< 0.1%
 

pit_add_air_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct59
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5170706726
Minimum0
Maximum146
Zeros21538
Zeros (%)91.9%
Memory size183.1 KiB
2021-01-21T23:28:25.291307image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum146
Range146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.658710486
Coefficient of variation (CV)7.075842202
Kurtosis330.0623617
Mean0.5170706726
Median Absolute Deviation (MAD)0
Skewness15.58083194
Sum12116
Variance13.38616242
MonotocityNot monotonic
2021-01-21T23:28:25.415975image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02153891.9%
 
24421.9%
 
33591.5%
 
12991.3%
 
42110.9%
 
51030.4%
 
6930.4%
 
7580.2%
 
8400.2%
 
9290.1%
 
Other values (49)2601.1%
 
ValueCountFrequency (%) 
02153891.9%
 
12991.3%
 
24421.9%
 
33591.5%
 
42110.9%
 
ValueCountFrequency (%) 
1461< 0.1%
 
1101< 0.1%
 
932< 0.1%
 
771< 0.1%
 
673< 0.1%
 

pit_add_air_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct76
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.690380676
Minimum0
Maximum178
Zeros21354
Zeros (%)91.1%
Memory size183.1 KiB
2021-01-21T23:28:25.549617image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum178
Range178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.043004476
Coefficient of variation (CV)7.30467212
Kurtosis321.4788696
Mean0.690380676
Median Absolute Deviation (MAD)0
Skewness15.72809656
Sum16177
Variance25.43189415
MonotocityNot monotonic
2021-01-21T23:28:25.673286image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02135491.1%
 
24351.9%
 
33871.7%
 
12941.3%
 
42281.0%
 
51270.5%
 
61110.5%
 
7650.3%
 
8510.2%
 
9470.2%
 
Other values (66)3331.4%
 
ValueCountFrequency (%) 
02135491.1%
 
12941.3%
 
24351.9%
 
33871.7%
 
42281.0%
 
ValueCountFrequency (%) 
1781< 0.1%
 
1681< 0.1%
 
1262< 0.1%
 
1161< 0.1%
 
1061< 0.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23411 
1
 
19
4
 
1
2
 
1
ValueCountFrequency (%) 
02341199.9%
 
1190.1%
 
41< 0.1%
 
21< 0.1%
 
2021-01-21T23:28:25.803937image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%

pit_add_non_cnt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0128883578
Minimum0
Maximum25
Zeros23340
Zeros (%)99.6%
Memory size183.1 KiB
2021-01-21T23:28:25.886716image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2944950168
Coefficient of variation (CV)22.84969283
Kurtosis2961.295361
Mean0.0128883578
Median Absolute Deviation (MAD)0
Skewness45.20325219
Sum302
Variance0.08672731492
MonotocityNot monotonic
2021-01-21T23:28:25.975480image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02334099.6%
 
1310.1%
 
3200.1%
 
5170.1%
 
2120.1%
 
46< 0.1%
 
72< 0.1%
 
121< 0.1%
 
101< 0.1%
 
251< 0.1%
 
ValueCountFrequency (%) 
02334099.6%
 
1310.1%
 
2120.1%
 
3200.1%
 
46< 0.1%
 
ValueCountFrequency (%) 
251< 0.1%
 
171< 0.1%
 
121< 0.1%
 
101< 0.1%
 
72< 0.1%
 

pit_add_non_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03064185729
Minimum0
Maximum50
Zeros23297
Zeros (%)99.4%
Memory size183.1 KiB
2021-01-21T23:28:26.068233image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6289231494
Coefficient of variation (CV)20.5249683
Kurtosis2273.845191
Mean0.03064185729
Median Absolute Deviation (MAD)0
Skewness39.2689012
Sum718
Variance0.3955443279
MonotocityNot monotonic
2021-01-21T23:28:26.165970image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
02329799.4%
 
1450.2%
 
2190.1%
 
7170.1%
 
310< 0.1%
 
108< 0.1%
 
47< 0.1%
 
116< 0.1%
 
85< 0.1%
 
95< 0.1%
 
Other values (7)130.1%
 
ValueCountFrequency (%) 
02329799.4%
 
1450.2%
 
2190.1%
 
310< 0.1%
 
47< 0.1%
 
ValueCountFrequency (%) 
501< 0.1%
 
291< 0.1%
 
271< 0.1%
 
251< 0.1%
 
154< 0.1%
 

pit_add_non_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct32
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08654831
Minimum0
Maximum76
Zeros23193
Zeros (%)99.0%
Memory size183.1 KiB
2021-01-21T23:28:26.266701image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum76
Range76
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.439287899
Coefficient of variation (CV)16.62987873
Kurtosis955.3496551
Mean0.08654831
Median Absolute Deviation (MAD)0
Skewness27.07928104
Sum2028
Variance2.071549658
MonotocityNot monotonic
2021-01-21T23:28:26.371420image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
02319399.0%
 
1660.3%
 
2390.2%
 
3210.1%
 
20190.1%
 
4140.1%
 
119< 0.1%
 
69< 0.1%
 
138< 0.1%
 
57< 0.1%
 
Other values (22)470.2%
 
ValueCountFrequency (%) 
02319399.0%
 
1660.3%
 
2390.2%
 
3210.1%
 
4140.1%
 
ValueCountFrequency (%) 
761< 0.1%
 
671< 0.1%
 
511< 0.1%
 
491< 0.1%
 
481< 0.1%
 

pit_add_non_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct43
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1523557528
Minimum0
Maximum115
Zeros22841
Zeros (%)97.5%
Memory size183.1 KiB
2021-01-21T23:28:26.488108image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum115
Range115
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.115403087
Coefficient of variation (CV)13.88462889
Kurtosis1027.135081
Mean0.1523557528
Median Absolute Deviation (MAD)0
Skewness27.68539238
Sum3570
Variance4.474930219
MonotocityNot monotonic
2021-01-21T23:28:26.607788image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
02284197.5%
 
11960.8%
 
21500.6%
 
3780.3%
 
4360.2%
 
5210.1%
 
29140.1%
 
610< 0.1%
 
99< 0.1%
 
77< 0.1%
 
Other values (33)700.3%
 
ValueCountFrequency (%) 
02284197.5%
 
11960.8%
 
21500.6%
 
3780.3%
 
4360.2%
 
ValueCountFrequency (%) 
1151< 0.1%
 
981< 0.1%
 
951< 0.1%
 
721< 0.1%
 
701< 0.1%
 

pit_add_buy_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_buy_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
1
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
11< 0.1%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23424 
1
 
7
2
 
1
ValueCountFrequency (%) 
023424> 99.9%
 
17< 0.1%
 
21< 0.1%
 
2021-01-21T23:28:26.736108image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23422 
1
 
9
2
 
1
ValueCountFrequency (%) 
023422> 99.9%
 
19< 0.1%
 
21< 0.1%
 
2021-01-21T23:28:26.837149image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

pit_add_mnl_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_mnl_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_mnl_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_mnl_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_mnl_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_ech_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_ech_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_ech_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_ech_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_ech_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_oth_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_oth_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_oth_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_oth_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_add_oth_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_tkt_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_tkt_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_tkt_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_tkt_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_tkt_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_bag_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_bag_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_bag_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_bag_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_bag_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
1
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
11< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23403 
1
 
29
ValueCountFrequency (%) 
02340399.9%
 
1290.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23388 
1
 
18
5
 
14
2
 
12
ValueCountFrequency (%) 
02338899.8%
 
1180.1%
 
5140.1%
 
2120.1%
 
2021-01-21T23:28:27.072980image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_des_upg_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010583817
Minimum0
Maximum9
Zeros23369
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:28:27.170175image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2619167188
Coefficient of variation (CV)24.74690547
Kurtosis936.3204338
Mean0.010583817
Median Absolute Deviation (MAD)0
Skewness29.6153113
Sum248
Variance0.06860036761
MonotocityNot monotonic
2021-01-21T23:28:27.247966image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02336999.7%
 
1250.1%
 
9140.1%
 
27< 0.1%
 
66< 0.1%
 
55< 0.1%
 
44< 0.1%
 
32< 0.1%
 
ValueCountFrequency (%) 
02336999.7%
 
1250.1%
 
27< 0.1%
 
32< 0.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
9140.1%
 
66< 0.1%
 
55< 0.1%
 
44< 0.1%
 
32< 0.1%
 

pit_des_upg_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01348583134
Minimum0
Maximum13
Zeros23364
Zeros (%)99.7%
Memory size183.1 KiB
2021-01-21T23:28:27.326756image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3540879551
Coefficient of variation (CV)26.25629419
Kurtosis1139.374574
Mean0.01348583134
Median Absolute Deviation (MAD)0
Skewness32.67199377
Sum316
Variance0.1253782799
MonotocityNot monotonic
2021-01-21T23:28:27.426489image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02336499.7%
 
1300.1%
 
13140.1%
 
67< 0.1%
 
27< 0.1%
 
54< 0.1%
 
43< 0.1%
 
32< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
02336499.7%
 
1300.1%
 
27< 0.1%
 
32< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
13140.1%
 
101< 0.1%
 
67< 0.1%
 
54< 0.1%
 
43< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
1
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
11< 0.1%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23406 
1
 
23
2
 
3
ValueCountFrequency (%) 
02340699.9%
 
1230.1%
 
23< 0.1%
 
2021-01-21T23:28:27.532208image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_des_mall_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003072721065
Minimum0
Maximum5
Zeros23377
Zeros (%)99.8%
Memory size183.1 KiB
2021-01-21T23:28:27.626954image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07268213215
Coefficient of variation (CV)23.65399612
Kurtosis1649.35238
Mean0.003072721065
Median Absolute Deviation (MAD)0
Skewness34.55618155
Sum72
Variance0.005282692334
MonotocityNot monotonic
2021-01-21T23:28:27.717712image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02337799.8%
 
1430.2%
 
210< 0.1%
 
51< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
02337799.8%
 
1430.2%
 
210< 0.1%
 
41< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
41< 0.1%
 
210< 0.1%
 
1430.2%
 
02337799.8%
 

pit_des_mall_cnt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007084329123
Minimum0
Maximum8
Zeros23320
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:28:27.808468image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1234046764
Coefficient of variation (CV)17.41938781
Kurtosis1180.715272
Mean0.007084329123
Median Absolute Deviation (MAD)0
Skewness28.26273721
Sum166
Variance0.01522871415
MonotocityNot monotonic
2021-01-21T23:28:27.896835image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02332099.5%
 
1780.3%
 
2250.1%
 
44< 0.1%
 
33< 0.1%
 
81< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
02332099.5%
 
1780.3%
 
2250.1%
 
33< 0.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
81< 0.1%
 
51< 0.1%
 
44< 0.1%
 
33< 0.1%
 
2250.1%
 

pit_des_mall_cnt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009132809833
Minimum0
Maximum8
Zeros23299
Zeros (%)99.4%
Memory size183.1 KiB
2021-01-21T23:28:27.992000image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1472502111
Coefficient of variation (CV)16.12321003
Kurtosis931.4938737
Mean0.009132809833
Median Absolute Deviation (MAD)0
Skewness25.69484329
Sum214
Variance0.02168262467
MonotocityNot monotonic
2021-01-21T23:28:28.078769image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02329999.4%
 
1820.3%
 
2380.2%
 
36< 0.1%
 
43< 0.1%
 
81< 0.1%
 
71< 0.1%
 
61< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
02329999.4%
 
1820.3%
 
2380.2%
 
36< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
81< 0.1%
 
71< 0.1%
 
61< 0.1%
 
51< 0.1%
 
43< 0.1%
 

pit_des_selt_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_selt_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_selt_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_selt_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_selt_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23426 
1
 
6
ValueCountFrequency (%) 
023426> 99.9%
 
16< 0.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23422 
1
 
6
3
 
2
2
 
2
ValueCountFrequency (%) 
023422> 99.9%
 
16< 0.1%
 
32< 0.1%
 
22< 0.1%
 
2021-01-21T23:28:28.193461image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23398 
1
 
28
2
 
4
3
 
2
ValueCountFrequency (%) 
02339899.9%
 
1280.1%
 
24< 0.1%
 
32< 0.1%
 
2021-01-21T23:28:28.285215image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_des_out_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03388528508
Minimum0
Maximum7
Zeros22960
Zeros (%)98.0%
Memory size183.1 KiB
2021-01-21T23:28:28.366997image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2753974538
Coefficient of variation (CV)8.127346521
Kurtosis149.3851594
Mean0.03388528508
Median Absolute Deviation (MAD)0
Skewness10.88845483
Sum794
Variance0.07584375757
MonotocityNot monotonic
2021-01-21T23:28:28.447782image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02296098.0%
 
12661.1%
 
21330.6%
 
3480.2%
 
4120.1%
 
59< 0.1%
 
63< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
02296098.0%
 
12661.1%
 
21330.6%
 
3480.2%
 
4120.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
63< 0.1%
 
59< 0.1%
 
4120.1%
 
3480.2%
 

pit_des_out_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03909184022
Minimum0
Maximum7
Zeros22899
Zeros (%)97.7%
Memory size183.1 KiB
2021-01-21T23:28:28.533571image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2998151362
Coefficient of variation (CV)7.669506846
Kurtosis130.6881884
Mean0.03909184022
Median Absolute Deviation (MAD)0
Skewness10.23669465
Sum916
Variance0.08988911589
MonotocityNot monotonic
2021-01-21T23:28:28.614337image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02289997.7%
 
12961.3%
 
21450.6%
 
3600.3%
 
4170.1%
 
59< 0.1%
 
65< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
02289997.7%
 
12961.3%
 
21450.6%
 
3600.3%
 
4170.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
65< 0.1%
 
59< 0.1%
 
4170.1%
 
3600.3%
 

pit_des_oth_cnt_m3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_oth_cnt_m6
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_oth_cnt_y1
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_oth_cnt_y2
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_des_oth_cnt_y3
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23432 
ValueCountFrequency (%) 
023432100.0%
 

pit_avg_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct60
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.94231535
Minimum0
Maximum30632
Zeros23307
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:28:28.738006image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30632
Range30632
Interquartile range (IQR)0

Descriptive statistics

Standard deviation812.224834
Coefficient of variation (CV)18.91432326
Kurtosis745.4862836
Mean42.94231535
Median Absolute Deviation (MAD)0
Skewness25.21216882
Sum1006224.333
Variance659709.181
MonotocityNot monotonic
2021-01-21T23:28:28.918147image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02330799.5%
 
13787300.1%
 
39397< 0.1%
 
296636< 0.1%
 
59335< 0.1%
 
2296.54< 0.1%
 
41894< 0.1%
 
52153< 0.1%
 
94283< 0.1%
 
737.53< 0.1%
 
Other values (50)600.3%
 
ValueCountFrequency (%) 
02330799.5%
 
2091< 0.1%
 
2501< 0.1%
 
3063< 0.1%
 
3251< 0.1%
 
ValueCountFrequency (%) 
306321< 0.1%
 
296636< 0.1%
 
272901< 0.1%
 
206471< 0.1%
 
181191< 0.1%
 

pit_avg_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct287
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.6202312
Minimum0
Maximum81870
Zeros22852
Zeros (%)97.5%
Memory size183.1 KiB
2021-01-21T23:28:29.048715image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum81870
Range81870
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1762.581805
Coefficient of variation (CV)9.812824498
Kurtosis737.3062567
Mean179.6202312
Median Absolute Deviation (MAD)0
Skewness21.39312066
Sum4208861.257
Variance3106694.618
MonotocityNot monotonic
2021-01-21T23:28:29.171387image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02285297.5%
 
3939460.2%
 
5933350.1%
 
13787300.1%
 
5215200.1%
 
27290120.1%
 
9848120.1%
 
23639< 0.1%
 
5384.1111118< 0.1%
 
31296< 0.1%
 
Other values (277)4021.7%
 
ValueCountFrequency (%) 
02285297.5%
 
1946< 0.1%
 
2441< 0.1%
 
2502< 0.1%
 
3262< 0.1%
 
ValueCountFrequency (%) 
818703< 0.1%
 
625801< 0.1%
 
309871< 0.1%
 
296633< 0.1%
 
27290120.1%
 

pit_avg_amt_y1
Real number (ℝ≥0)

ZEROS

Distinct638
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326.3296939
Minimum0
Maximum48303
Zeros22239
Zeros (%)94.9%
Memory size183.1 KiB
2021-01-21T23:28:29.296055image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile454.05
Maximum48303
Range48303
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2004.0008
Coefficient of variation (CV)6.141031101
Kurtosis131.823801
Mean326.3296939
Median Absolute Deviation (MAD)0
Skewness9.919210745
Sum7646557.388
Variance4016019.205
MonotocityNot monotonic
2021-01-21T23:28:29.433686image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02223994.9%
 
5933810.3%
 
3939680.3%
 
11636.58333300.1%
 
3151250.1%
 
2363220.1%
 
3560170.1%
 
5215150.1%
 
23730120.1%
 
4746.5120.1%
 
Other values (628)9113.9%
 
ValueCountFrequency (%) 
02223994.9%
 
2041< 0.1%
 
2501< 0.1%
 
2541< 0.1%
 
2631< 0.1%
 
ValueCountFrequency (%) 
483032< 0.1%
 
44296.666673< 0.1%
 
365971< 0.1%
 
327981< 0.1%
 
302363< 0.1%
 

pit_avg_amt_y2
Real number (ℝ≥0)

ZEROS

Distinct1273
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean564.7587058
Minimum0
Maximum48303
Zeros21147
Zeros (%)90.2%
Memory size183.1 KiB
2021-01-21T23:28:29.558352image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3943.064516
Maximum48303
Range48303
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2412.954862
Coefficient of variation (CV)4.272541241
Kurtosis68.66254325
Mean564.7587058
Median Absolute Deviation (MAD)0
Skewness7.148015014
Sum13233425.99
Variance5822351.164
MonotocityNot monotonic
2021-01-21T23:28:29.695985image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02114790.2%
 
59331130.5%
 
3939840.4%
 
3560410.2%
 
4746.5390.2%
 
2363310.1%
 
8015.758065300.1%
 
3151290.1%
 
23730290.1%
 
3129240.1%
 
Other values (1263)18658.0%
 
ValueCountFrequency (%) 
02114790.2%
 
1841< 0.1%
 
2042< 0.1%
 
2131< 0.1%
 
2251< 0.1%
 
ValueCountFrequency (%) 
483032< 0.1%
 
421431< 0.1%
 
360703< 0.1%
 
327971< 0.1%
 
313221< 0.1%
 

pit_avg_amt_y3
Real number (ℝ≥0)

ZEROS

Distinct1468
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean623.7734452
Minimum0
Maximum46922
Zeros20894
Zeros (%)89.2%
Memory size183.1 KiB
2021-01-21T23:28:29.830625image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4237.333333
Maximum46922
Range46922
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2505.899325
Coefficient of variation (CV)4.017322866
Kurtosis57.55549912
Mean623.7734452
Median Absolute Deviation (MAD)0
Skewness6.62076911
Sum14616259.37
Variance6279531.426
MonotocityNot monotonic
2021-01-21T23:28:30.039122image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02089489.2%
 
59331080.5%
 
3939760.3%
 
3560400.2%
 
4746.5400.2%
 
2363310.1%
 
7316.325301300.1%
 
5215290.1%
 
23730290.1%
 
3129280.1%
 
Other values (1458)21279.1%
 
ValueCountFrequency (%) 
02089489.2%
 
1502< 0.1%
 
1841< 0.1%
 
2042< 0.1%
 
2131< 0.1%
 
ValueCountFrequency (%) 
469221< 0.1%
 
421431< 0.1%
 
360703< 0.1%
 
338861< 0.1%
 
32826.666671< 0.1%
 

pit_avg_interval_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003535051781
Minimum0
Maximum8
Zeros23401
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:30.158803image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1142810807
Coefficient of variation (CV)32.32797926
Kurtosis1979.558437
Mean0.003535051781
Median Absolute Deviation (MAD)0
Skewness40.80497247
Sum82.83333333
Variance0.0130601654
MonotocityNot monotonic
2021-01-21T23:28:30.252552image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02340199.9%
 
110< 0.1%
 
36< 0.1%
 
45< 0.1%
 
23< 0.1%
 
3.52< 0.1%
 
1.6666666672< 0.1%
 
4.51< 0.1%
 
81< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
02340199.9%
 
110< 0.1%
 
1.6666666672< 0.1%
 
23< 0.1%
 
36< 0.1%
 
ValueCountFrequency (%) 
81< 0.1%
 
61< 0.1%
 
4.51< 0.1%
 
45< 0.1%
 
3.52< 0.1%
 

pit_avg_interval_m6
Real number (ℝ≥0)

ZEROS

Distinct137
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.203613719
Minimum0
Maximum68
Zeros23073
Zeros (%)98.5%
Memory size183.1 KiB
2021-01-21T23:28:30.379215image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum68
Range68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.182601016
Coefficient of variation (CV)10.71932199
Kurtosis297.0763081
Mean0.203613719
Median Absolute Deviation (MAD)0
Skewness15.42883223
Sum4771.076664
Variance4.763747196
MonotocityNot monotonic
2021-01-21T23:28:30.510862image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02307398.5%
 
1170.1%
 
2140.1%
 
5.444444444140.1%
 
10130.1%
 
7130.1%
 
4120.1%
 
611< 0.1%
 
1211< 0.1%
 
158< 0.1%
 
Other values (127)2461.0%
 
ValueCountFrequency (%) 
02307398.5%
 
1170.1%
 
1.6666666671< 0.1%
 
2140.1%
 
2.3846153853< 0.1%
 
ValueCountFrequency (%) 
681< 0.1%
 
652< 0.1%
 
561< 0.1%
 
541< 0.1%
 
481< 0.1%
 

pit_avg_interval_y1
Real number (ℝ≥0)

ZEROS

Distinct334
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.072300618
Minimum0
Maximum259
Zeros22646
Zeros (%)96.6%
Memory size183.1 KiB
2021-01-21T23:28:30.650489image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum259
Range259
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.198856407
Coefficient of variation (CV)8.578617088
Kurtosis248.6734928
Mean1.072300618
Median Absolute Deviation (MAD)0
Skewness13.98001728
Sum25126.14809
Variance84.61895919
MonotocityNot monotonic
2021-01-21T23:28:30.785130image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02264696.6%
 
1370.2%
 
2230.1%
 
25170.1%
 
4150.1%
 
15150.1%
 
7150.1%
 
12140.1%
 
5.666666667140.1%
 
8120.1%
 
Other values (324)6242.7%
 
ValueCountFrequency (%) 
02264696.6%
 
0.51< 0.1%
 
1370.2%
 
2230.1%
 
2.251< 0.1%
 
ValueCountFrequency (%) 
2591< 0.1%
 
2541< 0.1%
 
2451< 0.1%
 
2311< 0.1%
 
2032< 0.1%
 

pit_avg_interval_y2
Real number (ℝ≥0)

ZEROS

Distinct723
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.699211872
Minimum0
Maximum473
Zeros21716
Zeros (%)92.7%
Memory size183.1 KiB
2021-01-21T23:28:30.925753image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13.08333333
Maximum473
Range473
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.25558676
Coefficient of variation (CV)5.745977116
Kurtosis106.2738624
Mean3.699211872
Median Absolute Deviation (MAD)0
Skewness9.095462357
Sum86679.93258
Variance451.7999687
MonotocityNot monotonic
2021-01-21T23:28:31.053411image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02171692.7%
 
8490.2%
 
1370.2%
 
13320.1%
 
5280.1%
 
7270.1%
 
4240.1%
 
3240.1%
 
2210.1%
 
6200.1%
 
Other values (713)14546.2%
 
ValueCountFrequency (%) 
02171692.7%
 
1370.2%
 
1.3333333331< 0.1%
 
1.51< 0.1%
 
2210.1%
 
ValueCountFrequency (%) 
4731< 0.1%
 
4211< 0.1%
 
3663< 0.1%
 
3461< 0.1%
 
3451< 0.1%
 

pit_avg_interval_y3
Real number (ℝ≥0)

ZEROS

Distinct881
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.530725456
Minimum0
Maximum473
Zeros21592
Zeros (%)92.1%
Memory size183.1 KiB
2021-01-21T23:28:31.183065image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile21
Maximum473
Range473
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.3083837
Coefficient of variation (CV)5.144514697
Kurtosis81.26782044
Mean4.530725456
Median Absolute Deviation (MAD)0
Skewness7.825944693
Sum106163.9589
Variance543.2807505
MonotocityNot monotonic
2021-01-21T23:28:31.314713image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02159292.1%
 
8410.2%
 
1330.1%
 
13270.1%
 
7260.1%
 
5260.1%
 
3220.1%
 
16210.1%
 
2200.1%
 
10160.1%
 
Other values (871)16086.9%
 
ValueCountFrequency (%) 
02159292.1%
 
1330.1%
 
1.3333333331< 0.1%
 
1.51< 0.1%
 
2200.1%
 
ValueCountFrequency (%) 
4731< 0.1%
 
4471< 0.1%
 
4211< 0.1%
 
4041< 0.1%
 
4001< 0.1%
 

pit_ech_avg_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.67087743
Minimum0
Maximum60000
Zeros23414
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:31.413692image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum60000
Range60000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1518.36018
Coefficient of variation (CV)37.33286017
Kurtosis1487.003522
Mean40.67087743
Median Absolute Deviation (MAD)0
Skewness38.34193723
Sum953000
Variance2305417.637
MonotocityNot monotonic
2021-01-21T23:28:31.492487image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02341499.9%
 
60000140.1%
 
380002< 0.1%
 
120001< 0.1%
 
250001< 0.1%
 
ValueCountFrequency (%) 
02341499.9%
 
120001< 0.1%
 
250001< 0.1%
 
380002< 0.1%
 
60000140.1%
 
ValueCountFrequency (%) 
60000140.1%
 
380002< 0.1%
 
250001< 0.1%
 
120001< 0.1%
 
02341499.9%
 

pit_ech_avg_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct47
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.5440992
Minimum0
Maximum320000
Zeros23321
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:28:31.696547image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum320000
Range320000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4385.282055
Coefficient of variation (CV)21.65099883
Kurtosis2036.092313
Mean202.5440992
Median Absolute Deviation (MAD)0
Skewness38.42836078
Sum4746013.333
Variance19230698.7
MonotocityNot monotonic
2021-01-21T23:28:31.823208image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
02332199.5%
 
51333.33333140.1%
 
60009< 0.1%
 
20006< 0.1%
 
300006< 0.1%
 
160006< 0.1%
 
250005< 0.1%
 
120005< 0.1%
 
200005< 0.1%
 
380004< 0.1%
 
Other values (37)510.2%
 
ValueCountFrequency (%) 
02332199.5%
 
20006< 0.1%
 
60009< 0.1%
 
70001< 0.1%
 
70401< 0.1%
 
ValueCountFrequency (%) 
3200001< 0.1%
 
2500001< 0.1%
 
1600001< 0.1%
 
1550002< 0.1%
 
1400001< 0.1%
 

pit_ech_avg_amt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct92
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean419.573059
Minimum0
Maximum320000
Zeros23227
Zeros (%)99.1%
Memory size183.1 KiB
2021-01-21T23:28:31.956851image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum320000
Range320000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6387.643557
Coefficient of variation (CV)15.22415089
Kurtosis719.1434987
Mean419.573059
Median Absolute Deviation (MAD)0
Skewness23.49926118
Sum9831435.918
Variance40801990.21
MonotocityNot monotonic
2021-01-21T23:28:32.149039image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02322799.1%
 
6000140.1%
 
51142.85714140.1%
 
200009< 0.1%
 
230008< 0.1%
 
425006< 0.1%
 
380006< 0.1%
 
1140005< 0.1%
 
480005< 0.1%
 
250004< 0.1%
 
Other values (82)1340.6%
 
ValueCountFrequency (%) 
02322799.1%
 
20003< 0.1%
 
22001< 0.1%
 
2666.6666672< 0.1%
 
30001< 0.1%
 
ValueCountFrequency (%) 
3200001< 0.1%
 
2500001< 0.1%
 
1975001< 0.1%
 
1960002< 0.1%
 
1850001< 0.1%
 

pit_ech_avg_amt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct162
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean645.1149686
Minimum0
Maximum320000
Zeros23121
Zeros (%)98.7%
Memory size183.1 KiB
2021-01-21T23:28:32.287692image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum320000
Range320000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8094.792947
Coefficient of variation (CV)12.54782998
Kurtosis548.3778546
Mean645.1149686
Median Absolute Deviation (MAD)0
Skewness20.24546542
Sum15116333.94
Variance65525672.85
MonotocityNot monotonic
2021-01-21T23:28:32.471242image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02312198.7%
 
12000160.1%
 
58909.09091140.1%
 
6000130.1%
 
900007< 0.1%
 
480007< 0.1%
 
250007< 0.1%
 
63111.111116< 0.1%
 
230006< 0.1%
 
550006< 0.1%
 
Other values (152)2291.0%
 
ValueCountFrequency (%) 
02312198.7%
 
19601< 0.1%
 
20005< 0.1%
 
21201< 0.1%
 
22001< 0.1%
 
ValueCountFrequency (%) 
3200002< 0.1%
 
2800003< 0.1%
 
2185001< 0.1%
 
2084801< 0.1%
 
1740001< 0.1%
 

pit_ech_avg_amt_y3
Real number (ℝ≥0)

ZEROS

Distinct185
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean677.016725
Minimum0
Maximum218500
Zeros23087
Zeros (%)98.5%
Memory size183.1 KiB
2021-01-21T23:28:32.610486image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum218500
Range218500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7617.567186
Coefficient of variation (CV)11.25166765
Kurtosis304.9084879
Mean677.016725
Median Absolute Deviation (MAD)0
Skewness15.77552371
Sum15863855.9
Variance58027329.84
MonotocityNot monotonic
2021-01-21T23:28:32.739192image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02308798.5%
 
12000150.1%
 
64200140.1%
 
6000130.1%
 
160009< 0.1%
 
250008< 0.1%
 
900007< 0.1%
 
63111.111116< 0.1%
 
480006< 0.1%
 
1140005< 0.1%
 
Other values (175)2621.1%
 
ValueCountFrequency (%) 
02308798.5%
 
1433.3333331< 0.1%
 
19601< 0.1%
 
20003< 0.1%
 
21201< 0.1%
 
ValueCountFrequency (%) 
2185001< 0.1%
 
2175003< 0.1%
 
207333.33331< 0.1%
 
1760002< 0.1%
 
1740001< 0.1%
 

pit_out_avg_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05765619665
Minimum0
Maximum531
Zeros23426
Zeros (%)> 99.9%
Memory size183.1 KiB
2021-01-21T23:28:32.853906image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum531
Range531
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.367028305
Coefficient of variation (CV)75.74256643
Kurtosis10295.37069
Mean0.05765619665
Median Absolute Deviation (MAD)0
Skewness95.23608651
Sum1351
Variance19.07093622
MonotocityNot monotonic
2021-01-21T23:28:32.949650image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
023426> 99.9%
 
2452< 0.1%
 
1731< 0.1%
 
421< 0.1%
 
5311< 0.1%
 
1151< 0.1%
 
ValueCountFrequency (%) 
023426> 99.9%
 
421< 0.1%
 
1151< 0.1%
 
1731< 0.1%
 
2452< 0.1%
 
ValueCountFrequency (%) 
5311< 0.1%
 
2452< 0.1%
 
1731< 0.1%
 
1151< 0.1%
 
421< 0.1%
 

pit_out_avg_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09406651872
Minimum0
Maximum531
Zeros23422
Zeros (%)> 99.9%
Memory size183.1 KiB
2021-01-21T23:28:33.088008image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum531
Range531
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.088082779
Coefficient of variation (CV)54.09026345
Kurtosis5938.26179
Mean0.09406651872
Median Absolute Deviation (MAD)0
Skewness69.76454855
Sum2204.166667
Variance25.88858637
MonotocityNot monotonic
2021-01-21T23:28:33.184763image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
023422> 99.9%
 
1802< 0.1%
 
178.33333332< 0.1%
 
1741< 0.1%
 
266.51< 0.1%
 
1731< 0.1%
 
5311< 0.1%
 
1151< 0.1%
 
2281< 0.1%
 
ValueCountFrequency (%) 
023422> 99.9%
 
1151< 0.1%
 
1731< 0.1%
 
1741< 0.1%
 
178.33333332< 0.1%
 
ValueCountFrequency (%) 
5311< 0.1%
 
266.51< 0.1%
 
2281< 0.1%
 
1802< 0.1%
 
178.33333332< 0.1%
 

pit_out_avg_amt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.572664163
Minimum0
Maximum15653
Zeros23398
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:33.278512image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15653
Range15653
Interquartile range (IQR)0

Descriptive statistics

Standard deviation110.5150418
Coefficient of variation (CV)70.27249963
Kurtosis17411.97148
Mean1.572664163
Median Absolute Deviation (MAD)0
Skewness126.5649219
Sum36850.66667
Variance12213.57447
MonotocityNot monotonic
2021-01-21T23:28:33.378246image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
02339899.9%
 
50011< 0.1%
 
1952< 0.1%
 
178.33333332< 0.1%
 
1802< 0.1%
 
3942< 0.1%
 
5311< 0.1%
 
156531< 0.1%
 
13801< 0.1%
 
11871< 0.1%
 
Other values (11)11< 0.1%
 
ValueCountFrequency (%) 
02339899.9%
 
1151< 0.1%
 
1731< 0.1%
 
1741< 0.1%
 
178.33333332< 0.1%
 
ValueCountFrequency (%) 
156531< 0.1%
 
53561< 0.1%
 
20001< 0.1%
 
13801< 0.1%
 
11871< 0.1%
 

pit_out_avg_amt_y2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct268
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.53374445
Minimum0
Maximum47460
Zeros22960
Zeros (%)98.0%
Memory size183.1 KiB
2021-01-21T23:28:33.503910image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum47460
Range47460
Interquartile range (IQR)0

Descriptive statistics

Standard deviation908.161835
Coefficient of variation (CV)16.65320884
Kurtosis1472.854189
Mean54.53374445
Median Absolute Deviation (MAD)0
Skewness33.88109999
Sum1277834.7
Variance824757.9185
MonotocityNot monotonic
2021-01-21T23:28:33.631569image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02296098.0%
 
594340.1%
 
394340.1%
 
500170.1%
 
52211< 0.1%
 
55948< 0.1%
 
6478< 0.1%
 
3138< 0.1%
 
2376< 0.1%
 
4755< 0.1%
 
Other values (258)3411.5%
 
ValueCountFrequency (%) 
02296098.0%
 
171< 0.1%
 
212< 0.1%
 
361< 0.1%
 
37.51< 0.1%
 
ValueCountFrequency (%) 
474604< 0.1%
 
261062< 0.1%
 
230051< 0.1%
 
222952< 0.1%
 
222181< 0.1%
 

pit_out_avg_amt_y3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct322
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.32037314
Minimum0
Maximum63024
Zeros22899
Zeros (%)97.7%
Memory size183.1 KiB
2021-01-21T23:28:33.764214image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum63024
Range63024
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1127.122537
Coefficient of variation (CV)14.96437804
Kurtosis1172.551368
Mean75.32037314
Median Absolute Deviation (MAD)0
Skewness30.01892569
Sum1764906.983
Variance1270405.214
MonotocityNot monotonic
2021-01-21T23:28:33.890876image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02289997.7%
 
394330.1%
 
594330.1%
 
500180.1%
 
6478< 0.1%
 
3138< 0.1%
 
55948< 0.1%
 
5227< 0.1%
 
2376< 0.1%
 
4755< 0.1%
 
Other values (312)4071.7%
 
ValueCountFrequency (%) 
02289997.7%
 
11< 0.1%
 
171< 0.1%
 
213< 0.1%
 
361< 0.1%
 
ValueCountFrequency (%) 
630241< 0.1%
 
474604< 0.1%
 
400001< 0.1%
 
361121< 0.1%
 
315631< 0.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23300 
1
 
93
2
 
33
3
 
6
ValueCountFrequency (%) 
02330099.4%
 
1930.4%
 
2330.1%
 
36< 0.1%
 
2021-01-21T23:28:34.015542image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_income_cnt_m6
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08740184363
Minimum0
Maximum32
Zeros22841
Zeros (%)97.5%
Memory size183.1 KiB
2021-01-21T23:28:34.165063image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum32
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8142022036
Coefficient of variation (CV)9.315618181
Kurtosis361.1633908
Mean0.08740184363
Median Absolute Deviation (MAD)0
Skewness16.25405254
Sum2048
Variance0.6629252283
MonotocityNot monotonic
2021-01-21T23:28:34.261314image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
02284197.5%
 
12000.9%
 
21650.7%
 
3550.2%
 
4450.2%
 
7440.2%
 
6210.1%
 
13120.1%
 
89< 0.1%
 
58< 0.1%
 
Other values (13)320.1%
 
ValueCountFrequency (%) 
02284197.5%
 
12000.9%
 
21650.7%
 
3550.2%
 
4450.2%
 
ValueCountFrequency (%) 
321< 0.1%
 
241< 0.1%
 
232< 0.1%
 
213< 0.1%
 
182< 0.1%
 

pit_income_cnt_y1
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2704848071
Minimum0
Maximum71
Zeros22229
Zeros (%)94.9%
Memory size183.1 KiB
2021-01-21T23:28:34.375009image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum71
Range71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.126506348
Coefficient of variation (CV)7.861832872
Kurtosis275.6073971
Mean0.2704848071
Median Absolute Deviation (MAD)0
Skewness14.58124272
Sum6338
Variance4.522029247
MonotocityNot monotonic
2021-01-21T23:28:34.500673image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
02222994.9%
 
23521.5%
 
12611.1%
 
31800.8%
 
41210.5%
 
6400.2%
 
5310.1%
 
24300.1%
 
8290.1%
 
9190.1%
 
Other values (33)1400.6%
 
ValueCountFrequency (%) 
02222994.9%
 
12611.1%
 
23521.5%
 
31800.8%
 
41210.5%
 
ValueCountFrequency (%) 
711< 0.1%
 
621< 0.1%
 
533< 0.1%
 
453< 0.1%
 
421< 0.1%
 

pit_income_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct74
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6951604643
Minimum0
Maximum196
Zeros21143
Zeros (%)90.2%
Memory size183.1 KiB
2021-01-21T23:28:34.634316image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum196
Range196
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.973668582
Coefficient of variation (CV)7.154705766
Kurtosis370.3306442
Mean0.6951604643
Median Absolute Deviation (MAD)0
Skewness16.11136894
Sum16289
Variance24.73737916
MonotocityNot monotonic
2021-01-21T23:28:34.769954image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02114390.2%
 
25812.5%
 
34211.8%
 
13381.4%
 
42661.1%
 
61330.6%
 
51220.5%
 
8470.2%
 
7410.2%
 
62310.1%
 
Other values (64)3091.3%
 
ValueCountFrequency (%) 
02114390.2%
 
13381.4%
 
25812.5%
 
34211.8%
 
42661.1%
 
ValueCountFrequency (%) 
1961< 0.1%
 
1931< 0.1%
 
1491< 0.1%
 
1081< 0.1%
 
991< 0.1%
 

pit_income_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct92
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9862154319
Minimum0
Maximum320
Zeros20889
Zeros (%)89.1%
Memory size183.1 KiB
2021-01-21T23:28:34.904594image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum320
Range320
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.175089292
Coefficient of variation (CV)7.275377225
Kurtosis389.7216659
Mean0.9862154319
Median Absolute Deviation (MAD)0
Skewness16.52137436
Sum23109
Variance51.48190635
MonotocityNot monotonic
2021-01-21T23:28:35.027265image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02088989.1%
 
25382.3%
 
34411.9%
 
13001.3%
 
43001.3%
 
61710.7%
 
51660.7%
 
7880.4%
 
8660.3%
 
9570.2%
 
Other values (82)4161.8%
 
ValueCountFrequency (%) 
02088989.1%
 
13001.3%
 
25382.3%
 
34411.9%
 
43001.3%
 
ValueCountFrequency (%) 
3201< 0.1%
 
2161< 0.1%
 
2031< 0.1%
 
1731< 0.1%
 
1711< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23408 
1
 
24
ValueCountFrequency (%) 
02340899.9%
 
1240.1%
 

pit_pay_cnt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007980539433
Minimum0
Maximum6
Zeros23311
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:28:35.145948image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1295928891
Coefficient of variation (CV)16.23861271
Kurtosis596.2583
Mean0.007980539433
Median Absolute Deviation (MAD)0
Skewness21.83831049
Sum187
Variance0.01679431689
MonotocityNot monotonic
2021-01-21T23:28:35.224739image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
02331199.5%
 
1840.4%
 
3220.1%
 
2130.1%
 
61< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
02331199.5%
 
1840.4%
 
2130.1%
 
3220.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
51< 0.1%
 
3220.1%
 
2130.1%
 
1840.4%
 

pit_pay_cnt_y1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02138101741
Minimum0
Maximum12
Zeros23199
Zeros (%)99.0%
Memory size183.1 KiB
2021-01-21T23:28:35.315495image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.29203415
Coefficient of variation (CV)13.65857126
Kurtosis571.0726109
Mean0.02138101741
Median Absolute Deviation (MAD)0
Skewness21.43992586
Sum501
Variance0.08528394479
MonotocityNot monotonic
2021-01-21T23:28:35.412236image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
02319999.0%
 
11300.6%
 
2540.2%
 
7180.1%
 
3140.1%
 
411< 0.1%
 
52< 0.1%
 
121< 0.1%
 
111< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
02319999.0%
 
11300.6%
 
2540.2%
 
3140.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
121< 0.1%
 
111< 0.1%
 
101< 0.1%
 
81< 0.1%
 
7180.1%
 

pit_pay_cnt_y2
Real number (ℝ≥0)

ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07242232844
Minimum0
Maximum22
Zeros22733
Zeros (%)97.0%
Memory size183.1 KiB
2021-01-21T23:28:35.514102image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5802909837
Coefficient of variation (CV)8.012597719
Kurtosis283.7172416
Mean0.07242232844
Median Absolute Deviation (MAD)0
Skewness14.18513179
Sum1697
Variance0.3367376257
MonotocityNot monotonic
2021-01-21T23:28:35.598916image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
02273397.0%
 
13151.3%
 
21890.8%
 
3800.3%
 
4390.2%
 
5230.1%
 
11150.1%
 
711< 0.1%
 
89< 0.1%
 
98< 0.1%
 
Other values (5)10< 0.1%
 
ValueCountFrequency (%) 
02273397.0%
 
13151.3%
 
21890.8%
 
3800.3%
 
4390.2%
 
ValueCountFrequency (%) 
221< 0.1%
 
171< 0.1%
 
142< 0.1%
 
11150.1%
 
101< 0.1%
 

pit_pay_cnt_y3
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08740184363
Minimum0
Maximum27
Zeros22667
Zeros (%)96.7%
Memory size183.1 KiB
2021-01-21T23:28:35.694189image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6998113058
Coefficient of variation (CV)8.006825448
Kurtosis304.8878547
Mean0.08740184363
Median Absolute Deviation (MAD)0
Skewness14.78190779
Sum2048
Variance0.4897358638
MonotocityNot monotonic
2021-01-21T23:28:35.802898image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
02266796.7%
 
13281.4%
 
21860.8%
 
31140.5%
 
5360.2%
 
4330.1%
 
8170.1%
 
15150.1%
 
911< 0.1%
 
69< 0.1%
 
Other values (7)160.1%
 
ValueCountFrequency (%) 
02266796.7%
 
13281.4%
 
21860.8%
 
31140.5%
 
4330.1%
 
ValueCountFrequency (%) 
271< 0.1%
 
181< 0.1%
 
15150.1%
 
142< 0.1%
 
131< 0.1%
 

pit_income_avg_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct71
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.29680565
Minimum0
Maximum24723
Zeros23323
Zeros (%)99.5%
Memory size183.1 KiB
2021-01-21T23:28:35.994384image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum24723
Range24723
Interquartile range (IQR)0

Descriptive statistics

Standard deviation476.2247683
Coefficient of variation (CV)22.36132386
Kurtosis1161.392616
Mean21.29680565
Median Absolute Deviation (MAD)0
Skewness31.61173069
Sum499026.75
Variance226790.0299
MonotocityNot monotonic
2021-01-21T23:28:36.147007image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02332399.5%
 
3939120.1%
 
98487< 0.1%
 
65< 0.1%
 
181194< 0.1%
 
91963< 0.1%
 
6803< 0.1%
 
24932< 0.1%
 
20862< 0.1%
 
8962< 0.1%
 
Other values (61)690.3%
 
ValueCountFrequency (%) 
02332399.5%
 
65< 0.1%
 
81< 0.1%
 
75.51< 0.1%
 
2921< 0.1%
 
ValueCountFrequency (%) 
247231< 0.1%
 
206471< 0.1%
 
181194< 0.1%
 
172921< 0.1%
 
16999.51< 0.1%
 

pit_income_avg_amt_m6
Real number (ℝ≥0)

ZEROS

Distinct297
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.219197
Minimum0
Maximum75838
Zeros22895
Zeros (%)97.7%
Memory size183.1 KiB
2021-01-21T23:28:36.272671image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum75838
Range75838
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1531.40659
Coefficient of variation (CV)9.802934717
Kurtosis578.3026158
Mean156.219197
Median Absolute Deviation (MAD)0
Skewness18.68187882
Sum3660528.224
Variance2345206.143
MonotocityNot monotonic
2021-01-21T23:28:36.502780image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02289597.7%
 
3939360.2%
 
5933310.1%
 
9848160.1%
 
17124140.1%
 
356010< 0.1%
 
236310< 0.1%
 
521510< 0.1%
 
237307< 0.1%
 
118656< 0.1%
 
Other values (287)3971.7%
 
ValueCountFrequency (%) 
02289597.7%
 
51< 0.1%
 
1941< 0.1%
 
1971< 0.1%
 
214.33333331< 0.1%
 
ValueCountFrequency (%) 
758381< 0.1%
 
713251< 0.1%
 
333161< 0.1%
 
303361< 0.1%
 
29946.666671< 0.1%
 

pit_income_avg_amt_y1
Real number (ℝ≥0)

ZEROS

Distinct587
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270.0015194
Minimum0
Maximum51828
Zeros22421
Zeros (%)95.7%
Memory size183.1 KiB
2021-01-21T23:28:36.632432image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum51828
Range51828
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1776.295781
Coefficient of variation (CV)6.578836243
Kurtosis146.0977334
Mean270.0015194
Median Absolute Deviation (MAD)0
Skewness10.39074383
Sum6326675.602
Variance3155226.703
MonotocityNot monotonic
2021-01-21T23:28:36.762086image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02242195.7%
 
5933630.3%
 
3939620.3%
 
3560230.1%
 
3151200.1%
 
2363160.1%
 
5215150.1%
 
15557.22222140.1%
 
9848120.1%
 
8199.58< 0.1%
 
Other values (577)7783.3%
 
ValueCountFrequency (%) 
02242195.7%
 
28.666666671< 0.1%
 
1501< 0.1%
 
158.251< 0.1%
 
1941< 0.1%
 
ValueCountFrequency (%) 
518281< 0.1%
 
483031< 0.1%
 
29411.751< 0.1%
 
293891< 0.1%
 
28261.251< 0.1%
 

pit_income_avg_amt_y2
Real number (ℝ≥0)

ZEROS

Distinct1117
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean457.1798583
Minimum0
Maximum48303
Zeros21531
Zeros (%)91.9%
Memory size183.1 KiB
2021-01-21T23:28:36.888747image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3530.770833
Maximum48303
Range48303
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2123.088646
Coefficient of variation (CV)4.643880536
Kurtosis79.55287226
Mean457.1798583
Median Absolute Deviation (MAD)0
Skewness7.638193413
Sum10712638.44
Variance4507505.397
MonotocityNot monotonic
2021-01-21T23:28:37.024414image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02153191.9%
 
5933850.4%
 
3939750.3%
 
5215450.2%
 
2363310.1%
 
3560310.1%
 
4746.5280.1%
 
3151230.1%
 
23730190.1%
 
10364.62353140.1%
 
Other values (1107)15506.6%
 
ValueCountFrequency (%) 
02153191.9%
 
138.33333331< 0.1%
 
1502< 0.1%
 
188.45454551< 0.1%
 
192.85714291< 0.1%
 
ValueCountFrequency (%) 
483031< 0.1%
 
474601< 0.1%
 
333771< 0.1%
 
315281< 0.1%
 
296081< 0.1%
 

pit_income_avg_amt_y3
Real number (ℝ≥0)

ZEROS

Distinct1312
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean475.8957914
Minimum0
Maximum58788
Zeros21346
Zeros (%)91.1%
Memory size183.1 KiB
2021-01-21T23:28:37.157030image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3560
Maximum58788
Range58788
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2124.994453
Coefficient of variation (CV)4.465251619
Kurtosis89.92921214
Mean475.8957914
Median Absolute Deviation (MAD)0
Skewness7.787004516
Sum11151190.18
Variance4515601.424
MonotocityNot monotonic
2021-01-21T23:28:37.285687image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02134691.1%
 
5933700.3%
 
3939540.2%
 
5215390.2%
 
2363280.1%
 
3560260.1%
 
4746.5250.1%
 
23730180.1%
 
3151170.1%
 
8661.869919140.1%
 
Other values (1302)17957.7%
 
ValueCountFrequency (%) 
02134691.1%
 
138.33333331< 0.1%
 
1502< 0.1%
 
1931< 0.1%
 
2131< 0.1%
 
ValueCountFrequency (%) 
587881< 0.1%
 
474601< 0.1%
 
32826.666671< 0.1%
 
296081< 0.1%
 
293941< 0.1%
 

pit_pay_avg_amt_m3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.52692899
Minimum0
Maximum88000
Zeros23411
Zeros (%)99.9%
Memory size183.1 KiB
2021-01-21T23:28:37.396390image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum88000
Range88000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1015.707057
Coefficient of variation (CV)75.08777921
Kurtosis7226.146481
Mean13.52692899
Median Absolute Deviation (MAD)0
Skewness84.05531869
Sum316963
Variance1031660.826
MonotocityNot monotonic
2021-01-21T23:28:37.478172image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
02341199.9%
 
880003< 0.1%
 
1703< 0.1%
 
2813< 0.1%
 
23743< 0.1%
 
4532< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
2001< 0.1%
 
230001< 0.1%
 
Other values (2)2< 0.1%
 
ValueCountFrequency (%) 
02341199.9%
 
501< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
1703< 0.1%
 
ValueCountFrequency (%) 
880003< 0.1%
 
230001< 0.1%
 
199601< 0.1%
 
23743< 0.1%
 
4532< 0.1%
 

pit_pay_avg_amt_m6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct65
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.2674974
Minimum0
Maximum250000
Zeros23262
Zeros (%)99.3%
Memory size183.1 KiB
2021-01-21T23:28:37.586881image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum250000
Range250000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6437.739144
Coefficient of variation (CV)16.45354952
Kurtosis564.4844918
Mean391.2674974
Median Absolute Deviation (MAD)0
Skewness21.74461742
Sum9168180
Variance41444485.28
MonotocityNot monotonic
2021-01-21T23:28:37.726131image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02326299.3%
 
90000300.1%
 
600010< 0.1%
 
4400010< 0.1%
 
850006< 0.1%
 
1800006< 0.1%
 
199605< 0.1%
 
380005< 0.1%
 
250004< 0.1%
 
160004< 0.1%
 
Other values (55)900.4%
 
ValueCountFrequency (%) 
02326299.3%
 
501< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
1703< 0.1%
 
ValueCountFrequency (%) 
2500001< 0.1%
 
2350002< 0.1%
 
1800006< 0.1%
 
1600002< 0.1%
 
1550002< 0.1%
 

pit_pay_avg_amt_y1
Real number (ℝ≥0)

ZEROS

Distinct127
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean558.0138313
Minimum0
Maximum250000
Zeros23146
Zeros (%)98.8%
Memory size183.1 KiB
2021-01-21T23:28:37.854801image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum250000
Range250000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7310.016638
Coefficient of variation (CV)13.10006353
Kurtosis424.7393648
Mean558.0138313
Median Absolute Deviation (MAD)0
Skewness18.48566408
Sum13075380.1
Variance53436343.25
MonotocityNot monotonic
2021-01-21T23:28:37.984454image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02314698.8%
 
74500300.1%
 
6000150.1%
 
50010< 0.1%
 
80666.6666710< 0.1%
 
400008< 0.1%
 
1800008< 0.1%
 
120007< 0.1%
 
199607< 0.1%
 
480006< 0.1%
 
Other values (117)1850.8%
 
ValueCountFrequency (%) 
02314698.8%
 
501< 0.1%
 
1152< 0.1%
 
1421< 0.1%
 
1703< 0.1%
 
ValueCountFrequency (%) 
2500001< 0.1%
 
2390001< 0.1%
 
2350002< 0.1%
 
1850001< 0.1%
 
1800008< 0.1%
 

pit_pay_avg_amt_y2
Real number (ℝ≥0)

ZEROS

Distinct469
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean748.3631765
Minimum0
Maximum231000
Zeros22569
Zeros (%)96.3%
Memory size183.1 KiB
2021-01-21T23:28:38.129067image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum231000
Range231000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7814.222711
Coefficient of variation (CV)10.44175202
Kurtosis289.3882881
Mean748.3631765
Median Absolute Deviation (MAD)0
Skewness15.44313544
Sum17535645.95
Variance61062076.58
MonotocityNot monotonic
2021-01-21T23:28:38.299561image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02256996.3%
 
394330.1%
 
75800300.1%
 
594280.1%
 
1187150.1%
 
5933130.1%
 
500120.1%
 
23000120.1%
 
393911< 0.1%
 
7150010< 0.1%
 
Other values (459)6993.0%
 
ValueCountFrequency (%) 
02256996.3%
 
151< 0.1%
 
261< 0.1%
 
27.52< 0.1%
 
341< 0.1%
 
ValueCountFrequency (%) 
2310001< 0.1%
 
2084801< 0.1%
 
1810002< 0.1%
 
1800008< 0.1%
 
1740001< 0.1%
 

pit_pay_avg_amt_y3
Real number (ℝ≥0)

ZEROS

Distinct551
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean807.3202774
Minimum0
Maximum255750
Zeros22497
Zeros (%)96.0%
Memory size183.1 KiB
2021-01-21T23:28:38.422232image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255750
Range255750
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7856.874798
Coefficient of variation (CV)9.732041939
Kurtosis267.1783675
Mean807.3202774
Median Absolute Deviation (MAD)0
Skewness14.56539299
Sum18917128.74
Variance61730481.59
MonotocityNot monotonic
2021-01-21T23:28:38.707909image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02249796.0%
 
394330.1%
 
84000300.1%
 
594250.1%
 
1187140.1%
 
5933120.1%
 
16000120.1%
 
500120.1%
 
7150010< 0.1%
 
2300010< 0.1%
 
Other values (541)7773.3%
 
ValueCountFrequency (%) 
02249796.0%
 
151< 0.1%
 
261< 0.1%
 
27.52< 0.1%
 
341< 0.1%
 
ValueCountFrequency (%) 
2557501< 0.1%
 
2310001< 0.1%
 
1810002< 0.1%
 
1800005< 0.1%
 
1740001< 0.1%
 

pit_add_chnl_m3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23300 
航空累积
 
118
非航累积
 
14
ValueCountFrequency (%) 
02330099.4%
 
航空累积1180.5%
 
非航累积140.1%
 
2021-01-21T23:28:38.824597image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_add_chnl_m6
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22841 
航空累积
 
557
非航累积
 
34
ValueCountFrequency (%) 
02284197.5%
 
航空累积5572.4%
 
非航累积340.1%
 
2021-01-21T23:28:38.923334image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_add_chnl_y1
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22229 
航空累积
 
1180
非航累积
 
23
ValueCountFrequency (%) 
02222994.9%
 
航空累积11805.0%
 
非航累积230.1%
 
2021-01-21T23:28:39.078970image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_add_chnl_y2
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21143 
航空累积
2253 
非航累积
 
35
积分购买
 
1
ValueCountFrequency (%) 
02114390.2%
 
航空累积22539.6%
 
非航累积350.1%
 
积分购买1< 0.1%
 
2021-01-21T23:28:39.181697image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

pit_add_chnl_y3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20889 
航空累积
2398 
非航累积
 
144
积分购买
 
1
ValueCountFrequency (%) 
02088989.1%
 
航空累积239810.2%
 
非航累积1440.6%
 
积分购买1< 0.1%
 
2021-01-21T23:28:39.326516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%